The B.Tech in Computer Science and Engineering (CSE) with Artificial Intelligence and Machine Learning (AI & ML) is a four-year undergraduate programme designed to help students master intelligent systems, automation, and self-learning technologies. The curriculum builds a strong foundation in computer science while introducing advanced concepts such as neural networks, deep learning, and predictive analytics. Students learn industry-relevant tools like Python, TensorFlow, PyTorch, NumPy, Scikit-Learn, Jupyter Notebooks, and MATLAB, enabling them to design AI-driven applications capable of autonomous decision-making.
Throughout the programme, learners gain hands-on experience with modern technologies, including Data Science platforms, Cloud Computing tools (AWS, Azure, Google Cloud), Big Data technologies (Hadoop, Spark), and automation frameworks. They also explore machine learning pipelines, model training, data visualisation, and algorithm optimisation through practical labs and real-world projects. This exposure equips students with the technical confidence required for fast-growing careers in AI development, ML engineering, data science, robotics, automation, and emerging tech innovation across India's evolving digital ecosystem.
On this page, applicants will find all essential information related to B.Tech CSE (AI & ML) admissions, including the programme structure, syllabus outline, learning benefits, software tools covered, career opportunities, eligibility criteria, and the full admission process for 2026. Every detail needed to understand the AI & ML specialisation and begin the application journey is available here in one place.
The B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is a 4-year undergraduate programme that integrates core computer science with advanced AI concepts. It trains students to design intelligent systems, develop data-driven solutions, and innovate across domains like automation, robotics, and predictive analytics.
| Programme | Bachelor of Technology in Computer Science & Engineering - Artificial Intelligence & Machine Learning |
|---|---|
| Duration | 4 years |
| Focus Areas | The B.Tech CSE (AI & ML) programme focuses on developing deep technical expertise in Artificial Intelligence, Machine Learning, Data Science, Neural Networks, Computer Vision, and Natural Language Processing. Students gain hands-on experience in Python, TensorFlow, PyTorch, and cloud-based AI tools, along with strong foundations in algorithms, data structures, and software engineering. |
| Salary | B.Tech AI & ML graduates typically start around ₹4-8 LPA, with high-skill roles in data science, MLOps, cloud-AI and computer vision/NLP reaching ₹10-25 LPA+ in product firms and high-growth startups. |
| Popular Job Types | AI Engineer, ML Engineer, Data Scientist, Data Engineer, MLOps Engineer, Computer Vision Engineer, NLP Engineer, AI Product Manager, Business Intelligence Developer, Software Engineer (AI applications). |
| Hiring Industries | IT Companies, Startups, Financial Services, E-commerce, Healthcare Technology |
| Top Recruiters | TCS, Infosys, Wipro, Accenture, Cognizant, IBM, HCL, Capgemini, Amazon, Microsoft, Google, Deloitte, AI/FinTech/SaaS startups, healthcare tech and e-commerce innovators. |
| Specializations | Deep Learning & Neural Networks, Computer Vision, Natural Language Processing, Data Science & Big Data, MLOps & Model Deployment, Cloud AI, Reinforcement Learning, Edge/IoT-AI, Responsible/Explainable AI. |
| Higher Studies | Post-B.Tech pathways include M.Tech/MS in AI, ML, Data Science, Computer Vision, NLP, or Robotics, and MBA (Technology/Analytics) for product leadership; strong prospects at IITs/IISc/NITs or leading global universities. |
| Benefits | High-demand skills, future-proof tech careers, global mobility, cross-industry relevance (healthcare, finance, retail, manufacturing), and fast salary growth with portfolio projects and certifications. |
| Internship and Placement | Structured industry internships, live AI projects, hackathons, and placement training (DSA, system design, interview prep) ensure strong outcomes across IT services, product companies, and AI startups. |
| Location | Situated in Kolkata, West Bengal, Brainware University offers students a vibrant academic environment within one of India's fastest-growing education and technology hubs. |
| Approvals & Recognition | Brainware University is a UGC-approved and AIU-recognised institution, adhering to the highest standards of quality and academic excellence. All its programmes are designed in compliance with the National Education Policy (NEP 2020), ensuring global equivalence and future-ready curricula. The university also maintains strong ties with industry bodies, research councils, and professional associations, reinforcing its credibility as one of Eastern India's most trusted destinations for higher education. |
The B.Tech CSE (AI & ML) programme at Brainware University follows an AI-embedded academic model, where artificial intelligence functions as a core problem-solving layer across the curriculum. From the first year, students apply AI concepts to real-world industry scenarios through classroom learning, hands-on labs, live projects, and industry-guided capstones. This integrated approach builds both strong fundamentals and production-ready AI skills, preparing graduates for roles in AI engineering, data science, automation, and intelligent software development.
The programme offers a structured AI learning journey, progressing from computing fundamentals to advanced AI applications.
Students build strong foundations in programming, data structures, algorithms, databases, operating systems, networks, mathematics, and statistics, which evolve into applied learning in machine learning, deep learning, NLP, computer vision, data analytics, and generative AI.
As they progress, students gain experience in:
This ensures graduates are capable of designing, deploying, and scaling intelligent systems.
Students train with a modern, industry-relevant AI stack embedded across labs and projects.
Core AI & ML Tools
Data, Cloud & MLOps Exposure
Advanced AI Domains
This hands-on exposure aligns with current industry workflows, making students job-ready from day one.
Graduates of the B.Tech CSE (AI & ML) programme at Brainware University achieve strong placement outcomes across IT services firms, product companies, and AI-driven startups. Industry-aligned curriculum, hands-on AI labs, live projects, and structured placement training ensure job readiness in roles such as AI Engineer, ML Engineer, Data Scientist, and MLOps Engineer. Students work with modern AI stacks including Python, TensorFlow, PyTorch, Scikit-learn, and cloud platforms (AWS, Azure, Google Cloud), enabling smooth transition into high-growth AI careers.
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.
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).
Brainware University's B.Tech CSE alumni, including AI & ML specialists, are building successful careers in leading Indian and global technology organisations. Alumni work as AI Engineers, ML Engineers, Data Scientists, Software Developers, and Cloud-AI Specialists, contributing to real-world systems such as recommendation engines, predictive analytics platforms, and intelligent automation solutions. Their growth reflects the university's practice-first, placement-focused AI education model.
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.
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.
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.
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.
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.
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.
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.
Our syllabus is a carefully crafted blend of theoretical understanding and hands-on experience. From foundational concepts to advanced applications, students undergo a comprehensive learning experience that covers the breadth and depth of Artificial Intelligence and Machine Learning.
The core foundation of the B.Tech CSE (AI & ML) programme focuses on building strong technical and analytical skills through subjects like Programming in C, C++, and Python, Data Structures and Algorithms, Database Management Systems (DBMS), Operating Systems, and Computer Networks. Students also gain a deep understanding of Discrete Mathematics, Linear Algebra, and Statistics, which form the mathematical backbone of Artificial Intelligence and Machine Learning applications.
The evolving and high-growth areas of the programme emphasize future-ready domains such as Deep Learning, Neural Networks, Natural Language Processing (NLP), Computer Vision, Data Analytics, Cloud AI, Cybersecurity, and Internet of Things (IoT). Students explore Generative AI, Edge Computing, and Reinforcement Learning, mastering the tools and techniques that drive innovation in automation, robotics, and intelligent decision-making across industries.
| Semester | Course |
|---|---|
| Semester I | English for Technical Communication |
| Understanding Harmony and Ethical Human Conduct | |
| Design Thinking | |
| Calculus | |
| Semiconductor Physics | |
| Programming for Problem Solving | |
| Semiconductor Physics Lab | |
| Programming for Problem Solving Lab | |
| Foundations of Artificial Intelligence | |
| Environmental Sciences | |
| Semester II | Effective Communication and Soft Skills |
| Algebra and Vector Calculus | |
| Applied Chemical Sciences | |
| Essential Mathematics for Machine Learning | |
| Data Structure and Algorithms | |
| Essential Computing and AI Tools for Engineers | |
| Applied Chemical Sciences Lab | |
| Yoga and Sports | |
| Semester III | Discrete Mathematics |
| Computer Organization and Architecture | |
| Database Management Systems | |
| Python for Machine Learning | |
| Computer Organization and Architecture Lab | |
| Database Management Systems Lab | |
| Python for Machine Learning Lab | |
| Python Projects | |
| Constitution of India | |
| Semester IV | General Proficiency and Workplace Communication |
| Business Intelligence | |
| Operating Systems | |
| Design and Analysis of Algorithms | |
| Object Oriented Programming | |
| Formal Language and Automata Theory | |
| Operating Systems Lab | |
| Design and Analysis of Algorithms Lab | |
| Object Oriented Programming Lab | |
| Project on Business Intelligence | |
| Semester V | Computer Networks |
| Artificial Intelligence | |
| Compiler Design | |
| Professional Elective Course – I | |
| Computer Networks Lab | |
| Artificial Intelligence Lab | |
| Compiler Design Lab | |
| Project on AI | |
| Semester VI | Machine Learning |
| Natural Language Processing | |
| Data Mining and Data Warehousing | |
| Artificial Intelligence in Blockchain | |
| Professional Elective Course – II | |
| Open Elective Course – I | |
| Machine Learning Lab | |
| Internship | |
| Semester VII | Software Engineering |
| Intelligent Embedded Systems | |
| Professional Elective Course – III | |
| Professional Elective Course – IV | |
| Open Elective Course – II | |
| Software Engineering Tools and Techniques Lab | |
| Industrial Training | |
| Semester VIII | Project |
| Grand Viva-Voce |
Please note that the syllabus is subject to modification. Visit our Syllabus page for the elective subject details and updated syllabus.
Educational Qualification: Candidates must have passed 10+2 or equivalent examinations with Physics, Mathematics, and Chemistry as compulsory subjects from a recognised board.
Minimum Marks: Applicants are generally required to secure a minimum aggregate of 50% marks in the qualifying examination (45% for reserved category candidates, as per government norms).
Entrance Exams: Admission to B.Tech CSE (Artificial Intelligence and Machine Learning) programmes across India is based on various entrance exams conducted at the national, state, and university levels — such as JEE Main, JEE Advanced, WBJEE, and other state-level engineering exams.
At Brainware University, candidates must qualify in the Brainware Entrance Test (BET), which serves as the university’s official entrance examination for admission to this programme.
Worried about the B.Tech CSE (AI and ML) fees? At Brainware University, we provide a high-quality engineering education at an affordable cost, ensuring that financial constraints never come in the way of your aspirations. Our B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) programme is competitively priced to make advanced technology education accessible to all.
Designed for students pursuing AI and Machine Learning courses after 12th, this programme offers a strong academic foundation combined with hands-on training in cutting-edge domains like data science, neural networks, and intelligent systems — helping students stay ahead in the rapidly evolving tech industry.
The fee structure is designed to keep advanced AI education accessible, covering tuition, labs, projects, workshops, and placement training. Flexible instalments and merit-based scholarships/financial aid help ensure affordability without compromising quality.
| 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
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: https://www.brainwareuniversity.ac.in/scholarship.php
Graduates join product companies, IT services, SaaS, FinTech, e-commerce, HealthTech, and analytics firms as AI/ML Engineers, Data Scientists, MLOps Engineers, CV/NLP Engineers, and AI Product Associates, working on recommendation engines, forecasting, copilots, chatbots, and automation.
Opportunities via GATE/PSUs, and roles in ISRO, DRDO, NIC, MeitY projects, Smart-City/e-Governance, cyber-forensics labs, and national data centers—spanning AI analytics, software engineering, and cybersecurity.
The field of Artificial Intelligence and Machine Learning (AI & ML) offers some of the most promising and future-proof career paths in technology today. Graduates of the B.Tech CSE (AI & ML) programme at Brainware University are equipped with advanced skills in data science, neural networks, predictive analytics, computer vision, and automation systems—making them highly sought after by top IT firms, research labs, and startups. With industries across finance, healthcare, manufacturing, and cybersecurity rapidly adopting AI solutions, students can look forward to exciting roles, competitive salaries, and global opportunities in one of the fastest-growing domains of the digital age.
| Career Aspect | Description |
|---|---|
| Increased Demand | With the rapid integration of Artificial Intelligence (AI) and Machine Learning (ML) across various industries, the demand for skilled professionals is expected to soar. Graduates proficient in these domains will find opportunities in sectors like healthcare, finance, automotive, retail, and technology. |
| Job Roles | Graduates can explore diverse roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Robotics Engineer, AI Research Scientist, Natural Language Processing Engineer, and AI Solutions Architect. These roles involve designing algorithms, developing AI applications, and handling large datasets to generate valuable insights. |
| Technological Advancements | The field of AI and ML is evolving rapidly. Graduates will have opportunities to work on cutting-edge technologies like deep learning, neural networks, and reinforcement learning—contributing to innovative research and advanced intelligent systems. |
| Industry Application | Industries are increasingly leveraging AI and ML for automation, predictive analysis, personalized recommendations, and data-driven decision-making. Graduates will play a pivotal role in deploying AI solutions to enhance efficiency and productivity across sectors. |
| Entrepreneurial Opportunities | With the growing demand for AI and ML solutions, graduates have the potential to launch startups focusing on AI-powered products, consulting services, or automation applications, shaping the next wave of technological innovation. |
| Global Scope | The demand for AI and ML professionals extends beyond national boundaries. Graduates with these specialized skills enjoy global career opportunities, making this a versatile and internationally relevant domain. |
| Continuous Learning | Given the dynamic nature of AI and ML, professionals must engage in lifelong learning and continuous upskilling. Staying current with emerging tools, frameworks, and methodologies will be crucial for sustained career growth. |
The B.Tech CSE (AI & ML) programme at Brainware University opens a gateway to high-impact careers across technology, research, and innovation. With its blend of advanced learning, practical exposure, and strong placement support, graduates emerge as skilled AI professionals ready to shape the future of automation, data intelligence, and smart computing worldwide.
The demand for B.Tech Artificial Intelligence (AI) and Machine Learning (ML) graduates is projected to surge dramatically between 2025 and 2032, driven by rapid technological adoption, massive global investments, and a persistent shortage of skilled professionals. AI is now revolutionising every sector—from healthcare and BFSI to manufacturing, agriculture, and retail—making it one of the most promising career fields of the decade.
The global Artificial Intelligence market is expected to grow from USD 244 billion in 2025 to over USD 2.4 trillion by 2032, reflecting a compound annual growth rate (CAGR) of 27-37%.
India's AI industry is projected to expand at a CAGR of 39%, reaching USD 130+ billion by 2032, positioning the country as a leading global AI development hub.
The AI and Data Science employment market is expected to grow by 35% through 2032, with AI and ML specialist roles alone forecast to increase by 40% by 2027. In India, over 1 million AI-ML jobs are expected to be available by 2026.
AI and ML are transforming every domain—healthcare, finance, e-commerce, manufacturing, automotive, and telecom—creating specialised, high-demand job roles for domain-specific AI experts.
Organisations leverage AI for predictive analytics, automation, and operational efficiency, driving the need for AI engineers, ML developers, and data scientists who can build scalable intelligent systems.
With global data volumes projected to reach 181 zettabytes by 2025, companies require professionals who can apply machine learning and deep learning models to interpret and visualise complex data.
The rise of generative AI, NLP, computer vision, and robotics is creating entirely new specialisations in both academic research and applied engineering.
Strategic initiatives and funding from governments and tech giants such as Microsoft, Google, and Nvidia continue to strengthen the AI research and employment ecosystem worldwide.
Between 2025 and 2032, the AI and ML job market will experience exponential growth. Graduates with a B.Tech in Artificial Intelligence and Machine Learning will be at the forefront of this transformation—equipped for high-impact, high-earning global careers in one of the fastest-growing industries of the century.
(Source: Elite Recruitments)
Brainware University's Department of B.Tech CSE AI ML is proud to announce a collaborative Memorandum of Understanding (MOU) with Code Clouds IT Solutions Pvt. Ltd. This partnership signifies a commitment to nurturing innovation in the fields of Computer Science, Artificial Intelligence, and Machine Learning. Together, we aim to create an enriching environment for students, fostering practical learning experiences and industry exposure through joint projects, workshops, and internships.
In a strategic move towards fostering technological advancements, Brainware University's Department of B.Tech CSE AI ML has inked an MOU with Consilio Intelligence Research Lab. This collaboration aims to amalgamate academic expertise with industry insights, providing students with an unparalleled opportunity for research, development, and real-world problem-solving in the domains of Artificial Intelligence and Machine Learning.
The Department of B.Tech CSE AI ML at Brainware University is pleased to announce an MOU with DCPL Tech, a significant stride towards bridging academia and industry. Through this partnership, students gain exposure to cutting-edge technology, practical training, and mentorship, ensuring a holistic learning experience. The collaboration focuses on fostering a skilled workforce adept in the nuances of AI and ML.
Brainware University's Department of B.Tech CSE AI ML proudly enters into an MOU with Tata Consultancy Private Limited, an esteemed collaboration dedicated to shaping the future of technology. This partnership facilitates knowledge exchange, internships, and research opportunities for students, providing a platform to dive deep into the practical applications of Artificial Intelligence and Machine Learning within a corporate environment.
The Department of B.Tech CSE AI ML at Brainware University is excited to announce a collaboration with Webskitters Technology Solutions Pvt. Ltd. This partnership is designed to provide students with hands-on learning experiences, industry exposure, and mentorship in the domains of Artificial Intelligence and Machine Learning. The MOU aims to bridge the gap between academia and industry, ensuring students are well-prepared for the dynamic landscape of technology.
Admission to the B.Tech in Artificial Intelligence and Machine Learning (AI & ML) programme at Brainware University offers aspiring technologists a chance to join one of India’s most future-driven engineering disciplines. The process is transparent, student-friendly, and designed to evaluate a candidate’s academic potential, aptitude for technology, and innovative mindset. The university ensures that every student gains access to cutting-edge AI learning, modern labs, and industry exposure, creating a strong foundation for global careers in data science, automation, and smart computing.
Admission Criteria:
Candidates must have completed 10+2 or equivalent examinations with Physics, Chemistry, and Mathematics as compulsory subjects from a recognised board. A minimum of 50% aggregate marks in the qualifying examination is required for eligibility.
Application:
Applicants can apply online through the official Brainware University website, fill in the enquiry form, and upload the necessary academic documents. The university’s admission counsellors provide one-on-one guidance throughout the application process.
Entrance Exam:
Admission to the B.Tech CSE (AI & ML) programme is primarily based on performance in Brainware Entrance Test (BET) — the university’s qualifying examination. Students with valid scores in national or state-level engineering entrance exams such as JEE Main, WBJEE, COMEDK, or MHT-CET may also apply.
Counselling:
Shortlisted candidates are invited for counselling sessions where they receive programme insights, fee structure details, and scholarship options. Counselling also includes career guidance and seat confirmation, ensuring each student is placed in the right academic stream.
Direct Admission:
Eligible candidates who meet the academic requirements of some universities can also opt for direct admission based on their Class 12 merit and early application. Priority consideration for scholarships and hostel allotments is given to early applicants.
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.
Amit Kumar BhartiCSE
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
"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.
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:
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.
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.
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.
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.
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.
The full form of B.Tech. CSE - AI & ML is a Bachelor of Technology in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning.
This undergraduate program focuses on the fundamentals of computer science along with advanced concepts in AI, ML, and data science. It trains students to design intelligent systems, develop predictive models, and apply computational techniques to solve real-world problems across industries such as automation, robotics, and data analytics.
BTech CSE - AI & ML is a specialized undergraduate degree program that focuses on the study of computer science, with a specific emphasis on artificial intelligence and machine learning. It combines core computer science subjects with specialized courses in AI, ML, data science, and related fields.
Admission requirements for BTech CSE - AI & ML are similar to general BTech CSE programs. Typically, you will need to have completed a high school education with a strong background in mathematics and science. Admission may be based on entrance exams like JEE Main, BITSAT, or state-level engineering entrance exams, depending on the university.
A BTech CSE - AI & ML program covers a range of subjects including programming languages, data structures, algorithms, computer networks, operating systems, database management systems, statistics, machine learning, deep learning, natural language processing, computer vision, robotics, and AI ethics.
The career prospects after completing BTech CSE - AI & ML are vast and diverse. Graduates can work as AI/ML engineers, data scientists, research scientists, software developers in AI-driven applications, AI consultants, algorithm developers, and AI project managers. They can find opportunities in industries like healthcare, finance, e-commerce, robotics, and more.
Yes, a BTech CSE - AI & ML degree equips you with a solid foundation in general computer science subjects, including software development. You can still pursue a career as a software engineer or developer, with the added advantage of having expertise in AI and ML, which can be valuable in developing intelligent software systems.
Yes, after completing BTech CSE - AI & ML, you can pursue higher studies such as MTech or MS programs in AI, ML, data science, or related fields. Higher studies can provide more specialized knowledge and research opportunities in emerging AI and ML technologies.
A BTech CSE - AI & ML program helps you develop a range of technical and analytical skills. You will gain proficiency in programming languages, data manipulation, machine learning algorithms, deep learning models, data analysis, problem-solving, critical thinking, and project management. Communication and teamwork skills are also enhanced through group projects and presentations.
While the workload and intensity of a BTech CSE - AI & ML program can be demanding, some students may find opportunities for part-time work or internships in the industry during their study breaks or summer vacations. It's important to manage your time effectively to balance work and academic commitments.
Brainware University is one of the top choices for B.Tech in Artificial Intelligence (AI) and Machine Learning (ML) in India. With a modern curriculum, hands-on training, and excellent placement support, it prepares students for a successful career in this advanced field.
To join Brainware University's B.Tech AI and ML program, you need to pass Class 12 with Physics, Chemistry, and Mathematics. Apply online on the university’s website, submit the required documents, and follow the admission process.
Graduates can work as AI Engineers, Data Scientists, Machine Learning Engineers, Robotics Engineers, AI Research Scientists, or in specialized fields like Natural Language Processing and Computer Vision.
The scope of CSE AI & ML is extremely promising, with high demand across IT, healthcare, finance, robotics, and automation. Graduates can work as AI engineers, ML developers, data scientists, or research analysts. With rapid growth in generative AI, automation, and smart technologies, this field offers strong career growth and global opportunities.
Yes. BTech in AI is a high-demand, future-oriented engineering degree that focuses on machine learning, data science, robotics, automation, and intelligent systems used across industries.
Yes, AI and ML are among the most in-demand and lucrative fields today. With applications in industries like healthcare, finance, robotics, and more, pursuing B.Tech in AI and ML offers excellent growth and job opportunities.
AI & ML is better than CSE for students who want specialised, future-focused tech careers, while CSE is better for those who want broader and flexible software roles.
You’ll study subjects like Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Data Science, Natural Language Processing, Robotics, Programming, and Big Data Analytics.
Yes, Artificial Intelligence (AI) is one of the highest-paid career fields today.
AI professionals earn high salaries because their skills are rare, technical, and in massive demand across industries like IT, healthcare, finance, e-commerce, and automation.
Jobs after B.Tech AI and ML include AI Engineer, ML Engineer, Data Scientist, Big Data Analyst, Robotics Developer, AI Researcher, and AI Consultant.
The starting salary for B.Tech AI and ML graduates ranges from ₹6 to ₹15 LPA, depending on the role and company. Top recruiters often offer even higher packages for skilled professionals.
Focus on understanding core AI/ML concepts, practice coding problems, build a portfolio of projects, and stay updated on recent developments in AI. Mock interviews and industry-specific preparation can also help.
Leading companies like Google, Microsoft, IBM, Amazon, Infosys, TCS, and startups in AI, robotics, and data analytics are great options for AI and ML professionals.
Include your technical skills, AI/ML projects, internships, certifications, and programming expertise. Highlight tools like TensorFlow, PyTorch, or R and any achievements in AI competitions or hackathons.
Begin with Python programming and mathematics fundamentals like linear algebra, statistics, and probability. Gradually move to AI and ML libraries like TensorFlow and Scikit-learn.
Python is the most widely used language in AI and ML. Additionally, learn R for statistical modeling, Java for large-scale projects, and SQL for data handling.
Work on real-world projects, practice coding on platforms like Kaggle, study AI research papers, and participate in AI challenges and hackathons to enhance your skills.
Start with basics, learn algorithms, and practice on platforms like Kaggle, HackerRank, or AI competition sites. Focus on solving real-world problems to build expertise and speed.
