B.Tech in Computer Science & Engineering (AI & ML)

• About B.Tech in Computer Science & Engineering (AI & ML)

  The world is undergoing an unprecedented technological transformation, with Artificial Intelligence and Machine Learning emerging as the defining forces of the twenty-first century. From intelligent healthcare diagnostics and autonomous mobility to financial forecasting and smart manufacturing, AI and ML are reshaping every sector of the global economy — generating an extraordinary demand for engineers who can not only understand these technologies but innovate with them responsibly and effectively
  
  In response to this global imperative, Birla Global University (BGU), Bhubaneswar, is proud to launch the B.Tech in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning (B.Tech CSE – AI & ML) under the aegis of the Birla School of Engineering & Technology. This four-year, full-time undergraduate program is designed to produce technically proficient, ethically grounded, and industry-ready AI engineers who are equipped to lead in a rapidly evolving digital world.
  
  Rooted in the AICTE Model Curriculum for B.Tech CSE (Artificial Intelligence and Machine Learning), the program offers a carefully sequenced academic journey that spans eight semesters. The curriculum is structured around four foundational pillars: a strong mathematical and computational foundation in the early semesters; progressive specialization in core AI and ML concepts from the second year onward; applied research and project-based learning throughout; and industry integration via mandatory internships and live project engagements. Students engage with a rich blend of subjects including Probability Theory and Statistics, Data Structures and Algorithms, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Big Data Analytics, and AI Ethics — all of which mirror the competencies mapped by AICTE to produce graduates who are equipped to solve real-world problems at the intersection of technology and society.
  
  What sets this program apart is its deliberate fusion of academic rigour with global perspectives. The curriculum has been co-designed with aivancity School for Technology, Business and Society, Paris — one of Europe’s premier institutions in AI and data science — ensuring that BGU students benefit from internationally benchmarked pedagogy, research insights, and curriculum innovation. The program is further distinguished by its emphasis on portfolio-building, entrepreneurial thinking, and cross-disciplinary collaboration, enabling graduates to pursue impactful careers in technology, research, consulting, and beyond.
  
  At Birla Global University, we believe that engineering education must go beyond the classroom. This program reflects our commitment to nurturing not just skilled engineers, but innovators, problem-solvers, and responsible technologists who can contribute meaningfully to India’s vision of becoming a global AI powerhouse.

  
• Employment Opportunity

  The demand for AI and ML professionals is growing at an exponential rate across every sector of the global economy. According to leading industry analyses, the global AI market is projected to reach trillions of dollars in the coming decade, with India emerging as one of the fastest-growing AI talent hubs in the world. Graduates of the B.Tech CSE (AI & ML) program at Birla Global University will be exceptionally well-positioned to capitalize on this demand, equipped with both the technical depth and the professional versatility to pursue diverse and rewarding career paths.

  Core Career Roles

  Role	Key Responsibilities	Potential Employers
  AI/ML Engineer	Develop, train, and deploy intelligent machine learning models across industry verticals	Google, Amazon, Microsoft, Infosys, TCS
  Data Scientist	Extract insights from large datasets to power strategic, data-driven business decisions	IBM, Accenture, Wipro, Mu Sigma, Fractal
  NLP Engineer	Build and fine-tune language models for chatbots, translation, and sentiment analysis	OpenAI, Meta AI, Flipkart, MakeMyTrip
  Computer Vision Engineer	Design vision-based systems for healthcare imaging, autonomous vehicles, and surveillance	ISRO, DRDO, Ola, Bosch, Samsung R&D
  AI Research Scientist	Conduct cutting-edge research in deep learning, neural networks, and generative AI	IITs, IISc, Adobe Research, Google DeepMind
  MLOps Engineer	Manage end-to-end ML pipelines — from model versioning to production deployment	Walmart Labs, Swiggy, Razorpay, PhonePe
  Business Intelligence Developer	Translate data into actionable dashboards and analytical tools for executive decision-making	Deloitte, EY, McKinsey Analytics, KPMG
  AI Product Manager	Lead the strategy and roadmap for AI-powered software products and platforms	Startups, BigTech, Product-first companies

  
  
  

  Higher Education and Research Pathways

  Graduates who wish to deepen their expertise or pursue careers in academia and research may choose to enroll in:

  • M.Tech / M.S. (by Research) in AI, ML, Data Science, or Computer Science at premier institutions including IITs, NITs, and top global universities.
  • MBA with Technology Specialization — enabling a transition into AI product management, technology consulting, or AI-driven entrepreneurship.
  • Ph.D. Programs at leading research universities in India and abroad, contributing to fundamental and applied AI research.
  • Specialized Master’s Programs at institutions such as aivancity, Paris (with whom BGU has an established academic relationship), or other globally ranked AI schools in Europe, the USA, and Asia.
• Program objective of B.Tech in Computer science and Engineering (AI & ML)
  • Build Strong Foundations in Computing and AI: Equip students with strong fundamentals in computer science, mathematics, data science, artificial intelligence, and machine learning principles.
  • Develop Advanced Technical Skills: Enable students to design, develop, and deploy intelligent software systems using modern programming languages, AI frameworks, machine learning models, and cloud-based technologies.
  • Enhance Analytical and Problem-Solving Abilities: Cultivate critical thinking and analytical skills to solve complex real-world problems using computational techniques, data-driven approaches, and intelligent algorithms.
  • Promote Innovation in Emerging Technologies: Encourage innovation, creativity, and research orientation in emerging domains such as Generative AI, Deep Learning, Computer Vision, Natural Language Processing, Robotics, and Data Analytics.
  • Provide Hands-on and Experiential Learning: Strengthen practical expertise through laboratories, live projects, hackathons, internships, industrial training, and AI/ML-based application development.
  • Foster Teamwork and Communication Skills: Develop effective communication, teamwork, collaboration, and leadership skills through group projects, technical presentations, and interdisciplinary activities.
  • Instill Ethics and Responsible AI Practices: Promote ethical values, professional integrity, responsible AI practices, data privacy awareness, and social responsibility in the development and deployment of intelligent systems.
  • Prepare Students for Industry and Research Careers: Align the curriculum with industry requirements by integrating industry-relevant tools, platforms, certifications, and research opportunities in AI and Machine Learning.
  • Encourage Lifelong Learning and Adaptability: Inspire continuous learning, upskilling, and adaptability to evolving technologies, industry trends, and advancements in artificial intelligence and computing.
  • Cultivate Leadership and Entrepreneurial Mindset: Nurture leadership qualities, innovation-driven thinking, and entrepreneurial capabilities to empower students as future AI professionals, researchers, and technology entrepreneurs.
• Program Outcomes
  • PO1: Engineering Knowledge: Graduates will demonstrate a comprehensive understanding of the fundamental principles, theories, and concepts of computer science and engineering, enabling them to analyze, design, and implement complex systems and solutions.
  • PO2: Problem Analysis: Students will possess the ability to identify, formulate, and solve engineering problems using computational thinking, mathematical reasoning, and algorithmic approaches, considering societal, environmental, and ethical considerations.
  • PO3: Design/Development of Solutions: Graduates will be proficient in designing, developing, and implementing software and hardware solutions that meet specified requirements, standards, and constraints, employing appropriate tools, techniques, and methodologies.
  • PO4: Students will demonstrate the ability to conduct research, investigate and analyse complex problems in computer science and engineering, utilizing research methods, experimentation, and data analysis techniques to derive meaningful conclusions.
  • PO5: Modern Tool Usage: Graduates will utilize modern computational tools, software, and technologies effectively to address technological challenges, enhance productivity, and facilitate innovation in various domains and applications.
  • PO6: The Engineer and Society: Students will recognize the impact of engineering solutions on society and the environment, and demonstrate awareness of ethical, legal, and professional responsibilities in their engineering practice, with a commitment to sustainable development and societal welfare.
  • PO7: Environment and Sustainability: Graduates will exhibit an understanding of the importance of sustainable development and environmental conservation, and apply engineering solutions that minimize environmental impact and promote sustainable practices.
  • PO8: Ethics: Students will adhere to professional ethics and codes of conduct in their engineering practice, demonstrating integrity, honesty, and accountability in their interactions with colleagues, clients, and stakeholders.
  • PO9: Individual and Team Work: Beyond technical excellence, graduates will demonstrate effective communication, collaboration, and leadership skills as members of multidisciplinary teams, and as leaders in their respective fields, fostering teamwork, synergy, and innovation.
  • PO10: Communication: Students will communicate effectively, both orally and in writing, with technical and non-technical audiences, articulating ideas, concepts, and solutions clearly and persuasively in various formats and contexts.
  • PO11: Project Management and Finance: Graduates will possess the knowledge and skills required to manage engineering projects effectively, including project planning, scheduling, budgeting, and risk management, ensuring successful project outcomes and stakeholder satisfaction.
  • PO12: Lifelong Learning: Students will recognize the importance of lifelong learning and professional development, and engage in continuous learning, self-improvement, and skill enhancement to adapt to technological advancements, industry trends, and evolving societal needs.

  Program Specific Outcomes

  The Program Specific Outcomes (PSOs) are designed to ensure that graduates of the BTech in Computer Science & Engineering (AI & ML) program at Birla Global University, one of the best university for BTech in India, possess the requisite knowledge, skills, and competencies to excel in their chosen careers, make significant contributions to the field of technology, and address the challenges and opportunities of the digital age effectively.

  • PSO 1: Intelligent Software Development
    Graduates will demonstrate proficiency in designing, developing, testing, and deploying intelligent and scalable software solutions by integrating principles of computer science, artificial intelligence, and machine learning to solve real-world problems effectively.
  • PSO 2: Data Analytics and AI-driven Decision Making
    Students will apply data analytics, statistical techniques, machine learning algorithms, and visualization tools to analyze structured and unstructured data, extract meaningful insights, and support data-driven decision making across diverse application domains.
  • PSO 3: Expertise in Emerging AI Technologies
    Graduates will acquire strong knowledge and practical expertise in emerging technologies such as Deep Learning, Generative AI, Natural Language Processing, Computer Vision, Cloud Computing, Cybersecurity, and IoT, enabling them to innovate and contribute to next-generation intelligent systems and digital transformation initiatives.
• Learning Outcomes – B.Tech in CSE (AI & ML)

  These Learning Outcomes are designed to ensure that students acquire the knowledge, technical skills, analytical abilities, and professional competencies aligned with the Program Specific Outcomes (PSOs), enabling them to excel academically, professionally, and socially in the rapidly evolving field of Artificial Intelligence and Machine Learning.

  • LO1: Intelligent Software Development
    Graduates will demonstrate proficiency in designing, developing, testing, and deploying intelligent, scalable, and reliable software solutions by applying core principles of computer science, artificial intelligence, and machine learning in accordance with industry standards and best practices.
  • LO2: Data Analytics and AI-based Decision Making
    Students will exhibit competence in data analysis and AI-driven decision making by utilizing statistical techniques, machine learning algorithms, deep learning models, and data visualization tools to analyze complex datasets, derive meaningful insights, and support informed decision-making across diverse domains.
  • LO3: Application of Emerging Technologies
    Graduates will acquire strong theoretical knowledge and practical expertise in emerging technologies such as Generative AI, Deep Learning, Natural Language Processing, Computer Vision, Cloud Computing, Cybersecurity, and IoT, and will be capable of applying these technologies innovatively to solve real-world challenges.
  • LO4: Research, Innovation, and Problem Solving
    Students will develop critical thinking, research aptitude, and innovation capabilities to identify, analyze, and solve complex computational and societal problems using modern AI and computing techniques.
  • LO5: Professional Ethics and Social Responsibility
    Graduates will demonstrate ethical responsibility, professional integrity, awareness of data privacy and responsible AI practices, and sensitivity toward societal and environmental impacts while developing intelligent systems.
  • LO6: Teamwork, Communication, and Lifelong Learning
    Students will develop effective communication, teamwork, leadership, and lifelong learning skills, enabling them to adapt to emerging technologies, collaborate in multidisciplinary environments, and pursue continuous professional growth.
• Syllabus Structure Highlights

  The B.Tech CSE (AI & ML) program at Birla Global University is distinguished by a set of defining features that together ensure an unparalleled learning experience — one that balances academic excellence, global exposure, practical depth, and innovation culture.

  Curriculum Aligned with the AICTE Model Framework

  The program is built on the AICTE Model Curriculum for B.Tech CSE (AI & ML), providing a nationally benchmarked academic structure across four years and eight semesters. Key design features include:

  • A progressive credit framework spanning Basic Science, Engineering Science, Professional Core, Professional Electives, Open Electives, and Mandatory Internship credits.
  • Year-1 foundations in Engineering Mathematics, Physics, and Programming, followed by deep specialization in Machine Learning, Deep Learning, NLP, Computer Vision, Reinforcement Learning, Big Data Analytics, and Cloud AI in Years 2–4.
  • Dedicated laboratory components for every major course — AI Lab, ML Lab, Deep Learning Lab, and Data Analytics Lab — with hands-on exposure to Python, TensorFlow, PyTorch, Scikit-learn, Spark, and Hadoop.
  • Mandatory Mini Project (Year 3) and full-semester Capstone Project (Year 4), evaluated by both faculty and industry reviewers.
  • Outcome-Based Education (OBE) design with defined Program Outcomes (POs), Program Specific Outcomes (PSOs), and Course Outcomes (COs).
  • Courses on AI Ethics, Data Privacy, and Societal Impact of Technology embedded across the curriculum.

  Course Co-Designed with aivancity School for Technology, Paris

  The curriculum has been jointly developed with aivancity School for Technology, Business and Society, Paris — ranked No. 1 in AI education in France and among the top AI institutions in Europe. Founded in 2020 and accredited by the French Ministry of Higher Education and Research, aivancity is unique for its AI–Business–Ethics triptych. Through this collaboration, BGU students benefit from:

  • Internationally benchmarked curriculum modules informed by aivancity’s expertise in applied AI pedagogy.
  • A shared commitment to responsible and ethical AI development, woven into the curriculum design.
  • Access to knowledge resources, joint faculty interactions, and case studies drawn from aivancity’s European and global industry network.

  Mandatory Industry Internships

  In line with AICTE guidelines, the program mandates structured industry immersion at three stages:

  • Summer Internship (after Semester IV): A 4–6 week live project engagement with an industry partner in an AI/ML domain.
  • Pre-Final Year Internship (after Semester VI): An extended internship for deeper, role-aligned professional experience.
  • Semester-Long Industry Project (Semester VIII option): Eligible students may undertake a full-semester industry project in lieu of campus-based coursework, earning academic credits alongside professional exposure.

  BGU’s established industry partnerships ensure a robust pipeline of internship placements across IT firms, start-ups, research laboratories, and public sector organizations.

  Expert Faculty with Proven Expertise in AI & ML

  The program is delivered by a research-active faculty cohort with demonstrated expertise across AI and ML domains. The department’s faculty have published in internationally peer-reviewed journals and conferences, collaborated with industry and government on applied AI projects, and mentored students in research, competitive challenges, and entrepreneurial ventures. Their active engagement with the frontiers of the field ensures students receive education that is current, rigorous, and practice-informed.

  Focus on Portfolio Building through Hands-On Projects

  The program emphasizes demonstrable skills over credentials alone. Students build a portfolio of tangible, employer-ready projects across all four years:

  • Year 1: Computational foundations assignments — algorithmic problem-solving and introductory Python projects.
  • Year 2: Applied ML projects — supervised and unsupervised learning implementations on real-world datasets.
  • Year 3: Domain-specific team projects in Computer Vision, NLP, or Predictive Analytics using industry-standard tools.
  • Year 4: An original Capstone Project — model development, cloud deployment, or a research/startup prototype — mentored by faculty and assessed by industry experts.

  All major projects are documented and version-controlled through student GitHub repositories, providing prospective employers with direct, verifiable evidence of each student’s technical depth and problem-solving capability.

  Global Exposure through the Global Lecture Series

  A structured Global Lecture Series brings distinguished international voices into the BGU classroom — including academics from globally ranked universities, senior practitioners from multinational technology firms, AI ethicists and policy experts, and entrepreneurs who have built AI-driven ventures. The series is complemented by joint workshops with partner institutions such as aivancity, student participation in internationally accessible AI competitions, and opportunities for academic exchange — collectively broadening students’ professional networks and global perspectives well beyond the campus.

  Innovation Culture through Hackathons

  BGU actively fosters an innovation-first culture through competitive and creative challenges:

  • Semester Hackathons: Time-bound, problem-solving competitions — both internal and open to external participants — held regularly throughout the academic year.
  • National & International AI Competitions: Facilitated participation in Kaggle, Google AI, Smart India Hackathon, and other global platforms.
  • Ideathons: Structured events where students pitch AI-based solutions to societal challenges, evaluated by faculty and industry mentors.
  • Startup Incubation Support: High-potential student projects are connected with mentors, funding guidance, and BGU’s innovation ecosystem for further development.
• Eligibility

  Students to pursue BTech in CSE (AI & ML) at our university that stands as the best university for engineering in India should go with the following eligibility criteria:

  • Passes Class XII (or equivalent) in Science stream (Physics, Chemistry, Mathematics), with at least 50% marks in aggregate.
  • Final year +2 students, who are expecting their results, can also apply.
  • Students with a diploma can be admitted through the lateral entry scheme without any entrance examination.
• Certificate

  Upon successful completion of the program, the certificate would be issued by Birla Global University, one of the best private university in India for BTech.

• Duration

  Program Duration: 4 Years (Full Time, 8 Semesters)

• Scholarship
  • 20% waiver for students securing 70% or above in the qualifying examination and 70 percentile in JEE / 80% in BET.
  • 10% waiver for students securing 70% or above in the qualifying examination and 60 percentile in JEE / 70% in BET.

  Note: The entry-level scholarships will be spread equally across semesters. Attendance, Fee clearance & discipline of the students will be a prerequisite for award of entry-level scholarships.

• Program Fee

  Program	Fee per Semester (INR)	No. of Semesters	Total Program Fee (INR)*
  B.Tech CSE (Artificial Intelligence & Machine Learning)	1,31,250	8	10,50,000

  *Additional Information

  • Medical Insurance: ₹3,000 per annum
  • General Security Deposit: ₹10,000 (refundable upon successful completion of the program, subject to clearance)
  • One-Time Registration Fee: ₹15,000 (non-refundable)
  • International Students have to pay additional 20% fee ( both tuition and hostel accommodation)

  Fee Waiver

  • Students seeking admission to B.Tech, in order to avail scholarship, must have scored above 70% in 10th or 12th grades. Those who scored above 60 percentile in JEE are eligible for a 10% waiver on tuition fee, while those who scored above 70 percentile in JEE receive a 20% waiver on tuition fee. Alternatively, students who scored above 80% in the BET exam are also eligible for a 20% waiver on tuition fee.

  Hostel (Optional)
  Lodging & Boarding expenses (Subject to revision)
  Double Occupancy (In Campus)

  Installments	Odd Semester Installment	Even Semester Installment
  Due Date	15th June	15th Dec
  Lodging (A/C Accommodation)	Rs. 38,720.00	Rs. 38,720.00
  Boarding	Rs. 39,600.00	Rs. 39,600.00
  Laundry	Rs. 3,600	Rs. 3,600
  Total Charges	Rs. 81,920.00	Rs. 81,920.00

  Triple Occupancy (In Campus)

  Installments	Odd Semester Installment	Even Semester Installment
  Due Date	15th June	15th Dec
  Lodging (A/C Accommodation)	Rs. 34,320.00	Rs. 34,320.00
  Boarding	Rs. 39,600	Rs. 39,600
  Laundry	Rs. 3,600	Rs. 3,600
  Total Charges	Rs. 77,520.00	Rs. 77,520.00

  Note:

  • Hostel-registration fee of INR 10,000 at the time of registration
  • Student should preserve this schedule for timely payment of fees to avoid penalty for late fee deposition.
  • No notice or reminder will be sent to student or his/her parents.
  • No separate letter will be issued for Bank Education Loan.
  • Demand Draft should be made in the name of “BIRLA GLOBAL UNIVERSITY” Payable at Bhubaneswar.
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