Bachelor of Technology (B.Tech) Computer Science and Engineering – Specialization in Data Science (IBM Integrated)
Program Details
This B.Tech program in Computer Science and Engineering with specialization in Data Science (IBM Integrated) is a 4-year undergraduate course designed to equip students with core engineering skills along with specialized knowledge in data science and analytics. The IBM integration provides practical exposure through industry-relevant tools, technologies, and certifications.
Program Highlights
- Strong foundation in computer science, programming, algorithms, and software engineering
- Specialized training in data science, machine learning, big data analytics, and AI
- IBM certification and hands-on labs integrated into the curriculum
- Exposure to real-world projects and case studies
- Focus on cloud computing, data visualization, and database management
- Development of critical thinking, problem-solving, and communication skills
Future Scope / Industry Trends
Data science is one of the fastest-growing fields globally, with high demand for professionals skilled in data analytics, machine learning, and AI. Integration with IBM’s industry-recognized tools enhances employability. Graduates can work in diverse sectors including finance, healthcare, retail, and technology companies focusing on data-driven decision-making.
Career Opportunities
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- Big Data Engineer
- AI Developer
- Data Engineer
- Research Analyst
Placements
Strong placement support with collaborations with IBM and industry partners. Companies like IBM, Accenture, TCS, Cognizant, and startups actively recruit graduates. Starting salary ranges from INR 5 to 12 lakhs per annum depending on skills and profile.
Fee Structure
| Year | Tuition Fees (INR) | Other Fees (INR) | Total Fees (INR) |
|---|---|---|---|
| 1st Year | 1,50,000 | 30,000 | 1,80,000 |
| 2nd Year | 1,50,000 | 30,000 | 1,80,000 |
| 3rd Year | 1,50,000 | 30,000 | 1,80,000 |
| 4th Year | 1,50,000 | 30,000 | 1,80,000 |
| Total | 6,00,000 | 1,20,000 | 7,20,000 |
Curriculum
| Semester | Subjects / Papers |
|---|---|
| 1st Semester | Mathematics I, Physics, Chemistry, Introduction to Programming, Engineering Mechanics |
| 2nd Semester | Mathematics II, Data Structures, Digital Logic Design, Computer Organization, Communication Skills |
| 3rd Semester | Algorithms, Database Management Systems, Object-Oriented Programming, Operating Systems, Environmental Science |
| 4th Semester | Theory of Computation, Computer Networks, Software Engineering, Probability and Statistics, Python Programming |
| 5th Semester | Machine Learning, Data Mining, Big Data Analytics, Cloud Computing, Elective I (AI/ML) |
| 6th Semester | Artificial Intelligence, Deep Learning, Natural Language Processing, Elective II (Data Visualization), Project Work |
| 7th Semester | Advanced Data Science Techniques, Big Data Tools (Hadoop, Spark), Elective III (Business Analytics), Internship |
| 8th Semester | Capstone Project, Ethics & Professional Practice, Elective IV (Cloud & Edge Computing), Seminar |
Eligibility
Completion of 10+2 or equivalent with minimum 60% marks.
Must have studied Physics, Chemistry, and Mathematics (PCM) in 10+2.
Admission may be based on national or state-level engineering entrance exams like JEE Main, BITSAT, or state CETs.
Selection Criteria
- Rank or score in engineering entrance examination
- Merit list and counseling process
- Personal interview or group discussion (if applicable)
- Academic record and relevant achievements