B Tech Data Science and Artificial Intelligence: Course, Eligibility, Fees and Admission 2026
The B.Tech in Artificial Intelligence and Data Science (AI & DS) is a four-year undergraduate programme that is rapidly gaining popularity across India’s technology-driven sectors. This specialisation equips students with the technical skills required to design, analyse, and deploy intelligent systems capable of solving real-world problems. Students build strong expertise across four major domains — Data Science, Machine Learning, Deep Learning, and Artificial Intelligence — preparing them to understand patterns, build predictive models, and create smart applications used across industries.
AI & DS is transforming sectors such as healthcare, finance, retail, logistics, and transportation, creating a strong demand for professionals who can implement AI-driven solutions that improve accuracy, automation, and decision-making. Learners gain hands-on experience with essential software and technologies including Python, R, TensorFlow, PyTorch, Scikit-Learn, SQL, Power BI, Tableau, Jupyter Notebooks, Hadoop, and Spark. Through practical labs, real datasets, and industry-oriented projects, students develop the ability to analyse data, build ML models, engineer algorithms, and deploy intelligent systems for modern business environments.
On this page, applicants will find all key admission-related information for the B.Tech in Artificial Intelligence and Data Science, including eligibility requirements, admission procedures, fee details, career opportunities, programme highlights, and the complete course overview. Every detail needed to begin the AI & DS admission journey for 2026 is available here in one place.
Programme at a Glance : BTech Data Science & AI Course
The BTech in Data Science and Artificial Intelligence at Brainware University is a future-driven engineering programme that trains students to build intelligent systems, analyse complex datasets, and design automation solutions. The curriculum integrates AI, ML, deep learning, cloud computing, and big-data technologies to prepare students for high-demand tech careers.
| Programme | Bachelor of Technology in Computer Science & Engineering – Data Science & Artificial Intelligence |
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| Duration | 4 years |
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| Salary | Fresh graduates earn ₹4–8 LPA, with top recruiters offering ₹10–20 LPA for strong AI/ML skills. Industry data suggests rapid salary growth, with experienced engineers earning ₹18–35 LPA, especially in AI research, big data engineering, and cloud-based ML roles. |
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| Internship and Placement | Brainware University offers structured internships with IT companies, AI start-ups, analytics firms, and cloud engineering organisations. Students receive placement training from the first semester—covering DSA, coding interviews, aptitude, and soft skills—leading to outstanding placement records with top-tier companies. |
| Location | The programme is delivered at Brainware University’s smart campus in Barasat, Kolkata—equipped with advanced labs, innovation hubs, incubators, and industry-collaboration zones. |
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Why Study B Tech Data Science and AI?
- Powering Modern Innovation: AI and Data Science drive cutting-edge technologies such as self-driving vehicles, robotics, virtual assistants, fraud detection systems, and advanced medical diagnostics.
- High-Growth Career Domain: Data Science and AI rank among the fastest-expanding tech fields globally, offering strong long-term career stability and growth.
- Real-World Problem Solving: The programme equips students to analyze complex data, build intelligent models, and develop practical, real-world solutions.
- CFuture-Ready Skill Set: Students gain expertise in data analytics, machine learning, artificial intelligence, and intelligent automation.
- Cross-Industry Demand: Graduates are востреб in sectors including IT, healthcare, finance, manufacturing, e-commerce, automotive, and smart infrastructure.
- Innovation & Technology Leadership: The course prepares students to design next-generation technologies and contribute to AI-driven digital transformation.
Why Brainware University is your best computer science university
- Strong Academic Foundation: A future-focused curriculum that balances core engineering concepts with advanced Data Science and AI technologies.
- Industry-Oriented Training: Learning is aligned with current industry requirements through practical exposure and application-based teaching.
- Advanced AI & Computing Labs: Students train using modern AI laboratories, cloud platforms, and high-performance computing infrastructure.
- Hands-On Project Experience: Real-world projects help students apply theoretical knowledge to solve industry-relevant problems.
- Industry MoUs & Mentorship: Collaborations with industry partners provide expert guidance, internships, and exposure to real business challenges.
- Coding Culture & Competitions: Regular coding challenges and tech events strengthen problem-solving and innovation skills.
- Global Exposure: Opportunities for interaction with global academia and industry trends in AI and Data Science.
- Proven Placement Record: A strong 98% placement track record reflects the university’s career-focused approach and employer trust.
Best colleges for B Tech Data Science and AI
- The best colleges are those offering updated AI curricula, industry tie-ups, cloud-based training, hackathons, internship pipelines, and placement support. Brainware University ranks among the top private engineering institutions due to its industry-led pedagogy, advanced labs, affordable fees, and exceptional placement ecosystem.
Brainware Placement Highlights
98% Placed in 2024
500+ Recruiters
36 LPA Highest CTC offered
145 Companies
35+ Hospital Tie-ups
3.5+ Average Package
BTech CSE Placement Excellence
Brainware University’s BTech CSE graduates, specialising in Data Science, Artificial Intelligence and Machine Learning secure top placements in leading IT firms. With industry-driven training, hands-on projects, and expert mentorship, students excel in software development, AI, cybersecurity, and more. Our strong recruiter network and dedicated placement support ensure high-paying career opportunities.
TCS
Infosys
Wipro
Infosys
Ginesys
Antino
Web Idea Solution Llp
Capgemini
BTech CSE Internship
Our dedicated Internship Cell ensures every student gains corporate exposure. In 2024, students secured internships at companies like ZOCA, Scrollify, and Digitide Solutions, often converting these into Pre-Placement Offers (PPOs).
ZOCA
Freessenti A Ventures Pvt. Ltd.
Labmentix Edtech Pvt.Ltd.
Digitide Solutions Ltd.
Scrollify
Scrollify
Nature Technologies Pvt Ltd.
Brainware Ranking & Awards
RANKING
A+ India's Best Engineering Institutes - Careers360
Brainware University has earned the prestigious AA+ rating in India’s Best Engineering Institutes by Careers360, a respected education analytics and ratings platform. This AA+ grade reflects the university’s strong performance in faculty quality, research output, infrastructure, academic rigor, and student outcomes. It positions Brainware among India’s leading emerging engineering institutions, recognised for delivering industry-aligned B.Tech and M.Tech programmes with consistent placement success. The Careers360 rating reinforces Brainware University’s credibility as a trusted destination for high-quality engineering education.
IIRF Ranking 2025 - No. 1 Technical Private University in West Bengal
Brainware University stands out prominently in the IIRF Ranking 2025, earning the title of No. 1 Technical Private University in West Bengal. IIRF recognises Brainware as a New Age Private University, reflecting its rapid growth, modern academic framework, and strong industry alignment. The university is also rated among the top institutions in India for B.Tech and M.Tech programmes, backed by high scores in teaching quality, research initiatives, and placement outcomes. With strong performance in Medicine and Allied Health Sciences as well, Brainware University demonstrates a balanced excellence across technical and healthcare domains. These IIRF rankings collectively strengthen its reputation as a future-ready university delivering quality education and strong career pathways.
Times Higher Education Impact Rankings 2025 - Among Top 100 Private Universities in West Bengal (Attached with the mail)
Brainware University is featured in the Times Higher Education (THE) Impact Rankings 2025, placing it among the globally recognised institutions committed to the United Nations Sustainable Development Goals (SDGs). As one of the few universities from West Bengal to achieve this distinction, Brainware demonstrates strong performance in areas such as quality education, innovation, industry partnership, sustainability, and community engagement. This ranking validates the university’s dedication to inclusive growth, responsible practices, and outcome-driven academics, strengthening its position as a progressive institution focused on long-term societal impact.
AWARDS
Best Institute in Engineering (Placement) | Best Law Institute Best Institute in MBA Studies - The Times Group
Brainware University has been recognised by The Times Group as one of India’s leading higher education institutions, earning distinctions as the Best Institute in Engineering (Placement), Best Law Institute, and Best Institute in MBA Studies. These accolades reflect the university’s strong academic framework, industry-driven curriculum, and consistent placement performance across disciplines. The Times Group’s recognition underscores Brainware University’s balanced excellence in technical education, legal studies, and management programmes, reaffirming its position as a trusted, multi-disciplinary university committed to delivering quality education and successful career outcomes.
Best Private University in West Bengal - Times Now. in Business Excellence Awards (East) 2025
Brainware University has been honoured as the Best Private University in West Bengal at the Times Now.in Business Excellence Awards (East) 2025, a prestigious recognition celebrating outstanding institutions that demonstrate excellence in performance, innovation, and student success. This award highlights Brainware’s sustained leadership in academic quality, cutting-edge infrastructure, industry partnerships, and high-impact learning outcomes. Being chosen as the top private university in the state reinforces Brainware University’s credibility as a trusted, future-focused institution committed to delivering world-class education and career-ready graduates.
LEADING UNIVERSITY in INFRASTRUCTURE, ACADEMICS & PLACEMENT - Times Business Awards West Bengal 2025
Brainware University has been recognised as the Leading University in Infrastructure, Academics & Placement at the Times Business Awards West Bengal 2025. This honour highlights the university’s exceptional campus ecosystem, modern learning facilities, outcome-driven academic design, and consistently strong placement record across disciplines. The award affirms Brainware University’s position as a top-performing institution that blends quality education with industry relevance, offering students a future-ready environment that supports learning, innovation, and successful career pathways.
Excellence in Industry Placement & Academic Infrastructure - Zee 24 Ghanta Education Excellence 2025
Brainware University has been honoured for Excellence in Industry Placement & Academic Infrastructure at the Zee 24 Ghanta Education Excellence 2025 awards. This recognition highlights the university’s strong industry connect, robust training ecosystem, and impressive placement performance across diverse programmes. The award also reflects Brainware’s commitment to providing state-of-the-art academic infrastructure that supports advanced learning, research, and skill development. Together, these strengths reinforce Brainware University’s standing as a future-focused institution delivering high-quality education with proven career outcomes.
BTech Data Science and AI: Syllabus Outline
BTech Data Science and AI syllabus: Building Strong Foundations
Semester-wise Syllabus:
The BTech Data Science & AI syllabus at Brainware University is designed to build strong computing foundations while introducing students to the latest developments in artificial intelligence, machine learning, cloud computing, and big data. The curriculum evolves each semester to match global industry trends.
Core Foundations (BTech Data Science and AI subjects)
- Programming in Python, C, Java
- Data Structures & Algorithms
- Discrete Mathematics & Linear Algebra
- Database Management Systems
- Operating Systems & Computer Networks
- Probability, Statistics & Calculus
- Software Engineering Principles
Advanced & Emerging Areas (BTech Data Science and AI syllabus)
- Machine Learning & Deep Learning
- Natural Language Processing
- Computer Vision & Image Processing
- Big Data Technologies (Hadoop, Spark)
- Cloud Computing (AWS, Azure, GCP)
- MLOps, DevOps & Model Deployment
- Blockchain & IoT-based AI Systems
- Generative AI & Large Language Models
Early-Semester Highlights
[The semester-wise syllabus will be updated shortly.]
*MOOC/Equivalent MOOC approved by BoS Chair (Evaluation scheme as per Blended Learning and MOOC Policy)Please note that the syllabus is subject to modification. Visit our Syllabus page for the elective subject details and updated syllabus.
BTech Data Science & AI Eligibility: Programmes, Duration, Fees and Eligibility Criteria
BTech Data Science Eligibility: Your First Step Towards Success
Educational Qualification: Candidates must have completed 10+2 or equivalent examinations with Physics, Mathematics as compulsory subjects from a recognized board.
Minimum Marks: Applicants should have a minimum aggregate of 50% marks in the qualifying examination (45% for reserved category candidates, as per government regulations).
Entrance Exams: Admission to B.Tech Data Science programs in India is generally based on national, state, or university-level entrance exams such as JEE Main, JEE Advanced, WBJEE, and others.At Brainware University, candidates must qualify in the Brainware Entrance Test (BET) — the university’s official entrance examination for admission to the B.Tech Data Science program.
BTech Data Science & AI Fees: Affordable Education for Your Dreams
The BTech Data Science & AI programme is offered at a competitive and affordable fee structure, ensuring students gain access to advanced labs, expert faculty, and industry-aligned training without financial burden. Detailed semester-wise fees are listed below to help families plan their educational investment transparently.
Course Fees
| Semesters | Semester 1 | Semester 2 | Semester 3 | Semester 4 | Semester 5 | Semester 6 | Semester 7 | Semester 8 | Semester 9 | Semester 10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fees (INR) | 98200 | 96200 | 75200 | 75200 | 69200 | 64200 | 58200 | 43200 | 579600 |
**Fees may be subject to change. Please contact us for details
Scholarships(Fees): Brainware University offers merit-based scholarships for top performers and financial aid for deserving students. Scholarships are available for high scorers in entrance exams, board results, and outstanding achievements in innovation or research. Visit our scholarship page for more details.
B Tech Data Science and AI: Career Options
The job opportunities for b tech data science and ai graduates are immense. One can explore the following career scopes:
- Data Scientist
- Machine Learning Engineer
- Artificial Intelligence (AI) Engineer
- Data Analyst
- Business Intelligence (BI) Analyst
- Data Engineer
- Big Data Engineer
- Deep Learning Engineer
- NLP Engineer (Natural Language Processing)
- Computer Vision Engineer
- MLOps Engineer
- Cloud Data Engineer (AWS / Azure / GCP)
- Robotics & Automation Engineer
- AI Research Associate
- AI Product Developer
- Predictive Analytics Specialist
- Quantitative Analyst (FinTech)
- Cybersecurity Analyst (AI-enabled systems)
- IoT Data Engineer
- Data Consultant / AI Consultant
Corporate/private Jobs After B Tech in AI and Data Science:
Graduates are in high demand across IT companies, analytics firms, fintech organisations, healthcare systems, and AI-driven enterprises. They work on designing algorithms, building ML pipelines, managing cloud data systems, and developing intelligent automation tools. The private sector offers some of the highest-paying career paths for AI engineers today.
Government Jobs After B Tech in AI and Data Science :
AI and data science engineers are increasingly recruited in government sectors including DRDO, ISRO, NIC, Ministry of Electronics & IT, Smart City projects, Digital India, Public Sector Banks, AI policy teams, and cybercrime units. Government bodies need AI experts for automation, data security, analytics, and digital governance.
The job landscape for BTech Data Science and AI graduates is expanding rapidly across public and private sectors. Organisations rely on AI-driven insights, automation, and predictive modelling to improve efficiency and innovation. Below is a detailed overview of the most in-demand job roles and why the industry needs them.
| Area of Opportunity | Why It’s in Demand |
|---|---|
| Data Scientist | Strategic Prediction and Insight: Core role needed across all sectors to design and apply advanced statistical and ML models to extract deep, predictive insights and guide high-level business strategy. |
| Machine Learning Engineer | Productionizing AI: Crucial for taking experimental ML models and deploying them into scalable, production-ready software systems, ensuring they operate efficiently and reliably in real-time. |
| Artificial Intelligence (AI) Engineer | System Integration: Focuses on developing, building, and maintaining AI applications and systems, integrating various models and tools to solve end-to-end business problems. |
| Data Analyst | Business Interpretation: Essential for cleaning, examining, and interpreting data to answer specific business questions, translating complex model results into actionable reports and dashboards. |
| Business Intelligence (BI) Analyst | Performance Reporting: Needed to design and implement interactive dashboards and reports, enabling non-technical users to track performance metrics and make timely operational decisions. |
| Data Engineer | Data Pipeline Construction (ETL): The primary role for building, maintaining, and optimizing robust data pipelines that clean, aggregate, and transform raw data, making it reliable for analysis and ML. |
| Big Data Engineer | Managing Petabyte Infrastructure: Crucial for designing and maintaining scalable, distributed infrastructure (Hadoop, Spark) required to store, process, and feed massive datasets to AI models. |
| Deep Learning Engineer | Advanced AI Development: Specialized role for designing and training complex neural networks used in image recognition, forecasting, and cutting-edge generative AI. |
| NLP Engineer (Natural Language Processing) | Understanding Human Language: High demand for developing systems such as chatbots, sentiment analysis, and translation that enable computers to understand and generate human language. |
| Computer Vision Engineer | Machine Perception: Needed to design systems that allow computers to interpret visual data, crucial for autonomous vehicles, robotics, and manufacturing quality control. |
| MLOps Engineer | Automation and Reliability: Essential for automating the ML lifecycle including deployment, monitoring, security, and continuous delivery in production environments. |
| Cloud Data Engineer (AWS / Azure / GCP) | Cloud Scalability: Required to architect and manage data pipelines, warehouses, and ML services on major cloud platforms using their scalable infrastructure. |
| Robotics & Automation Engineer | Intelligent Automation: Needed to program robots and automated systems using AI/ML for manufacturing, logistics, and specialized industrial services. |
| AI Research Associate | Fundamental Innovation: Conducts research in academic or corporate labs to develop new algorithms and advance the theoretical and applied boundaries of AI. |
| AI Product Developer | User-Centric AI Solutions: Bridges AI technology with market needs by focusing on user experience, product features, and commercialization of AI-driven solutions. |
These career paths demonstrate the diversity and strength of the AI and Data Science sector. As industries continue to automate processes and adopt intelligent systems, the demand for engineers with advanced AI and data expertise will grow exponentially—ensuring long-term job stability, high salaries, and global opportunities.
Future Job Market Trends and Growth Outlook for B.Tech Data Science & Artificial Intelligence (2025–2032)
The job market for B.Tech graduates in Data Science & Artificial Intelligence is projected to witness rapid and sustained growth between 2025 and 2032, driven by widespread AI adoption, data-driven decision-making, and rising demand for intelligent analytics solutions across global and Indian industries.
Market Growth Drivers
1. AI and Data Adoption Across Industries AI and data science are being increasingly integrated across IT, healthcare, finance, e-commerce, manufacturing, automotive, agriculture, and cybersecurity, creating strong demand for professionals skilled in data analytics and intelligent systems.
2. Advancements in Data-Centric AI Technologies Rapid developments in machine learning, generative AI, big data analytics, cloud-native AI engineering, and edge computing are generating new, high-value roles requiring advanced data and AI expertise.
3. Expanding Global Job Creation Through AI While AI automates routine processes, it continues to create net positive employment by enabling new data-driven roles and intelligent digital services across global markets.
4. India’s Growing Data Science and AI Ecosystem India is emerging as a major hub for AI and data talent, with projected demand for over 1.5 million AI and data professionals by 2030, significantly strengthening career prospects for graduates.
Key Market Projections (2025-2032)
1. Rising Demand for Data Professionals:
AI adoption across industries is expected to drive a 25–30% annual increase in demand for data science and AI professionals.
2. High-Growth Technology Domains:
Cloud-native AI engineering, generative AI, edge computing, robotics analytics, and cybersecurity analytics are expected to dominate future job markets.
3. India-Specific Growth:
India’s demand for AI and data professionals is projected to exceed 1.5 million by 2030, reflecting strong domestic expansion and industry adoption.
4. Global Career Opportunities:
Global demand for data science and AI expertise is expected to grow even faster, offering strong international career mobility.
5. Persistent Talent Gap:
A shortage of skilled data science and AI professionals ensures long-term, high-growth career opportunities for well-trained graduates.
B Tech AI & Data Science: Salient Features and Learning Outcomes
The students of B. Tech AI & Data Science at Brainware University will have the following learning advantages:
- Industry-driven curriculum aligned with global AI standards
- Hands-on projects using real datasets & industry tools
- Cloud-first learning environment with AWS / Azure / GCP exposure
- Strong emphasis on Python, ML, DL, NLP & Computer Vision
- Capstone projects, hackathons & innovation challenges
- Internship support via 500+ recruiters
- Graduates capable of designing AI applications, developing ML models, and deploying scalable data pipelines
B Tech Data Science and Artificial Intelligence: Industry-Institute Tie-ups
Brainware University collaborates with leading IT and AI companies to provide students with hands-on training, real-time project exposure, industrial internships, and specialised workshops. These partnerships bridge academic learning with industry expectations, enabling students to graduate as job-ready AI and data science professionals.
Academic collaboration
Memorandum of Understanding (MOU) Signing with Code Clouds IT Solutions Pvt. Ltd.
The Department of Computer Science and Engineering at Brainware University is pleased to announce the formalization of a strategic partnership with Code Clouds IT Solutions Pvt. Ltd. This Memorandum of Understanding (MOU) signifies our commitment to fostering a collaborative environment for innovative research, knowledge exchange, and industry-focused training programs. The MOU lays the foundation for joint research projects, technical workshops, and internships, providing students and faculty with real-world problem-solving experiences and opportunities for technological advancement. This partnership reinforces our dedication to nurturing technological excellence and ensuring our students are well-prepared with practical skills and knowledge to thrive in the ever-evolving tech landscape.
Memorandum of Understanding (MOU) Signing with Consilio Intelligence Research Lab
The Department of Computer Science and Engineering at Brainware University is proud to announce the formal signing of an MOU with Consilio Intelligence Research Lab, marking a significant milestone in our quest to enhance research and academic collaboration. This partnership is designed to promote joint initiatives, including research projects, knowledge sharing, and training programs that align with the latest industry trends and technological advancements. By fostering an environment of innovation and academic synergy, this MOU aims to provide students and faculty with invaluable opportunities for skill development, collaborative research, and exposure to cutting-edge technologies, further enriching the academic experience and preparing individuals for the demands of a dynamic tech-driven world.
Memorandum of Understanding (MOU) Signing with DCPL Tech:
Brainware University's Department of Computer Science and Engineering is thrilled to formalize a strategic partnership with DCPL Tech through the signing of a Memorandum of Understanding (MOU). This collaboration signifies the beginning of a mutually beneficial relationship, with a focus on promoting cooperation in research, training, and technological innovation. The MOU aims to establish joint research projects, seminars, and skill development initiatives, creating an environment that fosters innovation and academic excellence. Through this partnership, students and faculty will gain access to practical experiences, industry insights, and opportunities to engage with emerging technologies, empowering them to thrive in the competitive landscape of the tech industry.
Memorandum of Understanding (MOU) Signing with Tata Consultancy Pvt. Ltd
Brainware University's Department of Computer Science and Engineering proudly announces the signing of an MOU with Tata Consultancy Pvt. Ltd., a significant milestone in fostering a collaborative and mutually beneficial relationship. This partnership sets the stage for joint initiatives focusing on research, development, and industry-aligned education. The MOU facilitates collaborative projects, training programs, and knowledge exchange to bridge the gap between academia and industry. This alliance will provide students and faculty with exposure to real-world challenges, technological expertise, and valuable insights from industry leaders, ensuring a comprehensive and practical learning experience in the field of computer science and engineering.
Memorandum of Understanding (MOU) Signing with Webskitters Technology Solutions Pvt. Ltd.
The Department of Computer Science and Engineering at Brainware University is pleased to formalize an alliance with Webskitters Technology Solutions Pvt. Ltd. through the signing of a Memorandum of Understanding (MOU). This partnership symbolizes a commitment to foster an environment of collaboration, innovation, and knowledge-sharing. The MOU outlines joint research initiatives, workshops, and internship opportunities aimed at providing students and faculty with exposure to real-world industry practices and cutting-edge technological advancements. Through this collaboration, both entities strive to bridge the gap between academia and industry, equipping students with the skills and expertise necessary to excel in the ever-evolving landscape of technology and software development.
BTech Data Science & AI: Admission 2026
Admission to the BTech Data Science and AI programme at Brainware University is designed to identify students with analytical aptitude and a passion for emerging technologies. The admission process is transparent, supportive, and structured to guide applicants smoothly from application to enrolment.
Admission Criteria : Selection is based on 10+2 eligibility, performance in the Brainware Entrance Test (BET), and academic merit. Candidates must meet all criteria as per university and government regulations.
Application: Applicants can apply online using the admission portal. After submitting basic details and documents, students receive personalised counselling and guidance on programme structure, fees, exams, and career prospects.
Entrance Exam: The Brainware Entrance Test evaluates mathematical reasoning, logical skills, and fundamental science knowledge. High performers may receive scholarship benefits based on BET scores.
Counselling: Selected candidates attend a counselling session where they are briefed on curriculum, specialisations, internships, scholarships, and campus facilities. This ensures that students make informed decisions about enrolling.
Direct Admission: Direct admission is available for eligible students based on board exam scores and seat availability. Students meeting cut-offs may secure admission without the additional entrance test.
Please follow the BTech Data Science & AI admission procedure at Brainware University:
- Apply/ Fill up the above enquiry form.
- Put in Your Name
- Select a b tech in ai and data science from course drop down menu
- Choose Your Location
- Provide a valid Phone number and Email ID
- Our Admission Counsellor will contact and guide you.
- For Live Counselling - Call Us : 70031 62601
Testimonials
If you are willing to work hard and trust the guidance you receive at Brainware, you cannot fail. The pre-placement training sessions right from the induction days, set us on the winning path.
Shilpa OjhaCSE
I made the right decision in choosing the university. Apart from the technical knowledge, they focused on the non-technical skills from the beginning of our programme which helped me to get the placement. Thank you Brainware University.
Debankojit RoyCSE
Recruiters Speak
"Brainware students are professionally and technically well-informed as freshers. We are impressed with the level of confidence and positive attitude they demonstrated during their interviews."
Mr. Vaskar Bhattacharya Regional Head-East, Ginnisystems Ltd.
We always find competent and positive students who are almost ready to be professionals. We never get disappointed wherever we come for the recruitment. Well done Brainware University!
Ms. Srimoyee Mukherjee Manager HR Nature Technologies Pvt. Ltd.
Our Major Recruiters
Departmental Achievements
Empowering Excellence: Brainware University's Department of Computer Science and Engineering Leads the Way
Brainware University's Department of Computer Science and Engineering (CSE) stands at the forefront of technological innovation and academic excellence. Here's a glimpse into the department's remarkable achievements and contributions:
1. ICCRET 2025: Annual Mega Event:
The 4th International Conference on Current Research in Engineering and Technology (ICCRET-2025), hosted by Brainware University, Kolkata, is a premier global forum uniting innovators, researchers, and industry leaders to explore “Innovation in Engineering and Technology for Sustainable Development.” Scheduled on February 21–22, 2025, the hybrid conference invites papers on AI, IoT, smart cities, green computing, blockchain, cybersecurity, and sustainable software systems. With distinguished keynote speakers like Padma Shri Dr. Bimal Kumar Roy and global academicians from IIT Kharagpur, ISI Kolkata, and international universities, ICCRET-2025 promotes interdisciplinary collaboration, publication in Scopus-indexed journals, and networking opportunities for scholars worldwide.
2. Faculty Development Programme (FDP):
The department organized a comprehensive 10-day Faculty Development Programme (FDP) for its faculty members. The FDP aimed to equip faculty with knowledge about current technologies and the latest research work, ensuring that they stay abreast of industry advancements. This initiative reflects Brainware University's commitment to providing high-quality education through skilled and updated faculty.
3. Hands-on Training at Euphoria Genx:
Recognizing the importance of practical skills, CSE students had the opportunity to visit Euphoria Genx for hands-on training on web development using PHP and MySql. These practical sessions bridge the gap between theoretical knowledge and industry requirements, preparing students for successful careers in the dynamic field of technology.
4. 7th International Conference on Advances in Computing and Data Sciences (ICACDS - 2023):
The department organized the prestigious ICACDS - 2023, bringing together experts from academia and industry. Notable speakers included Dr. Dipti Prasad Mukherjee (Deputy Director, Indian Statistical Institute), Welmoed Spahr (Vice President of Publishing, Springer Nature Books), and Vipin Tyagi (Jaypee University of Engineering). This conference showcased Brainware University's commitment to advancing research and fostering collaboration on a global scale.
5. Insights from CodeClouds:
The department invited esteemed guests from CodeClouds to share valuable insights on executing business strategies with CSE students. The speakers, Mr. Subhojit Ganguly (COO, CodeClouds) and Mr. Biplab Pal (VP and R&D CodeClouds) provided students with real-world perspectives, aligning academic learning with industry practices.
Brainware University's Department of Computer Science and Engineering continues to elevate the standards of education and industry readiness. Through pioneering events, hands-on training, and collaborations with industry leaders, the department ensures that its students are well-prepared to excel in the dynamic and ever-evolving field of computer science and engineering.
Frequently Asked Questions
What is BTech in Artificial Intelligence and data science?
B.Tech Data Science and Artificial Intelligence is a 4-year undergraduate engineering program that trains students in data analysis, machine learning, deep learning, AI algorithms, big data, cloud computing, and predictive modeling to solve real-world problems.
What is the full form of BTech CSE Data Science & AI?
The full form of BTech CSE Data Science & AI is Bachelor of Technology in Computer Science and Engineering (Data Science and Artificial Intelligence).
What is the eligibility for B.Tech Data Science & AI?
The B.Tech Data Science & AI eligibility generally requires:
- 10+2 with Physics, Chemistry, and Mathematics
- Minimum 45–50% marks (varies by institution)
- JEE Main / state-level entrance exam or direct admission depending on the college
What subjects are taught in the B.Tech Data Science and AI syllabus?
The B.Tech Data Science and AI syllabus focuses on building core skills in programming, data handling, and intelligent systems. It includes Python programming, Data Structures & Algorithms, Artificial Intelligence, Machine Learning, and Deep Learning as foundational subjects. Students also study Big Data Analytics, Database Management, and Cloud Computing to manage and process large datasets. Advanced topics such as Computer Vision, Natural Language Processing (NLP), and Data Visualization prepare learners for real-world AI applications, supported by strong mathematical foundations for AI.
What is the difference between B.Tech Data Science and Artificial Intelligence vs B.Tech in AI and Data Science?
Both terms—B.Tech Data Science and AI and B.Tech in AI and Data Science—refer to the same specialization with slight curriculum variations depending on the university. Both focus on AI, ML, data science, and big data technologies.
How much are the B.Tech Data Science and AI fees?
The B.Tech Data Science and AI fees typically range from ₹2.5 lakh to ₹6 lakh for the full program, depending on the institution, facilities, industry exposure, and lab infrastructure.
Is AI and data science a good career?
Yes. B.Tech in Data Science offers excellent prospects as industries increasingly rely on data-driven decision-making. Demand for AI engineers, data scientists, and ML developers is rapidly growing across IT, finance, healthcare, e-commerce, and telecom sectors.
What is the salary of BTech AI and data science?
The average salary after BTech in AI & Data Science is ₹4–8 LPA for freshers, which can increase to ₹10–18 LPA with experience and go up to ₹20–40+ LPA for senior professionals.
What job opportunities are available after B.Tech Data Science and AI?
Graduates can become Data Scientists, AI Engineers, ML Engineers, Data Analysts, Big Data Engineers, Cloud Data Engineers, NLP Engineers, Computer Vision Engineers, Quant Analysts, and MLOps Engineers in the Indian tech ecosystem.
Is entrance required for B.Tech Data Science and AI admission?
B.Tech Data Science & AI admission may require entrance exams such as JEE Main, WBJEE, MHT CET, KCET, or university-level tests. Some colleges also offer direct admission based on Class 12 marks.
What skills do I need to succeed in B.Tech Data Science & AI?
Students should have an interest in mathematics, coding, analytics, logical reasoning, and problem-solving. Knowledge of basic programming is helpful but not mandatory.
What tools and technologies are taught in the B.Tech Data Science & AI course?
The B.Tech Data Science & AI course provides training in Python, R, TensorFlow, Keras, PyTorch, Hadoop, Spark, Tableau, SQL, AWS, Azure, Google Cloud, and AI development frameworks.
Is data science heavy in math?
Yes, B.Tech Data Science involves mathematics, especially linear algebra, probability, statistics, and calculus, as these are essential for machine learning and AI models.
Can a data scientist earn ₹1 crore?
Yes, a data scientist can earn ₹1 crore per year, but usually at senior or global-level roles with extensive experience, advanced AI/ML skills, and leadership or international exposure.
Can I pursue higher studies after B.Tech Data Science and AI?
Yes. Students can pursue M.Tech in Data Science/AI, MBA in Business Analytics, or global programs like MS in Data Science / AI / Machine Learning in top universities.
What industries hire B.Tech Data Science & AI graduates?
Graduates are recruited in IT, banking & finance, healthcare, telecommunications, e-commerce, manufacturing, cybersecurity, marketing analytics, and startup ecosystems.
Is coding compulsory for B.Tech in AI and Data Science?
Yes. Coding is an important part of B.Tech in AI and Data Science, especially in languages like Python, Java, and R, along with algorithmic problem-solving.
What is the future scope of B.Tech Data Science and AI in India?
The future scope is extremely strong. With rapid advancements in AI automation, robotics, cloud computing, big data, smart devices, and government initiatives in digital transformation, demand for data science and AI engineers will continue to rise.
Is data science a tough course?
Data science is moderately tough because it involves mathematics, statistics, and programming, but it becomes manageable with regular practice and interest in data and problem-solving
Which is better, AI & DS or CSE?
AI & DS is better for specialised, future-focused careers in artificial intelligence and data science, while CSE is better for broad, flexible software and IT career options. The better choice depends on your interest and career goals.
Is AI a high paid job?
Yes, AI is a high-paid job. Freshers earn around ₹4–8 LPA, and with experience, AI professionals can earn ₹10–25+ LPA, depending on skills and roles.
Is data science still in demand in 2026?
Yes — data science is still in demand in 2026. The global market for data science continues to grow, with many industries (like finance, healthcare, e-commerce, analytics, and AI) hiring data professionals. Employers value skills in Python, SQL, machine learning, and cloud data tools, so demand remains strong especially for experienced and skilled candidates.