Program Outcomes
Program Outcomes (PO)
PO1: Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the conceptualization of engineering models.
PO2: Identify, formulate, research literature and solve complex engineering problems reaching substantiated conclusions using first principles of mathematics and engineering sciences.
PO3: Design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
PO4: Conduct investigations of complex problems including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
PO5: Create, select and apply appropriate techniques, resources, and modern engineering tools, including prediction and modeling, to complex engineering activities, with an understanding of the limitations.
PO6: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.
PO7: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO8: Demonstrate understanding of the societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to engineering practice.
PO9: Understand and commit to professional ethics and responsibilities and norms of engineering practice.
PO10: Understand the impact of engineering solutions in a societal context and demonstrate knowledge of and need for sustainable development.
PO11: Demonstrate a knowledge and understanding of management and business practices, such as risk and change management, and understand their limitations.
PO12: Recognize the need for, and have the ability to engage in independent and life-long learning.
Curriculum & Syllabus
Curriculum & Syllabus
(Minimum credits to be EARNED: 170)
SEMESTER I | Hours/Week | Maximum Marks | |||||||
---|---|---|---|---|---|---|---|---|---|
Category | Course code | Course Title | Lecture | Tutorial | Practical | Credits | CA | SEE | Total |
Basic Science | BSC | Chemistry | 3 | 1 | 0 | 4 | 40 | 60 | 100 |
Basic Science | BSC | Mathematics – I (Calculus & Linear Algebra) | 3 | 1 | 0 | 4 | 40 | 60 | 100 |
Engineering Course | ESC | Programming for Problem Solving | 3 | 0 | 0 | 3 | 40 | 60 | 100 |
Basic Science Lab | LC | Chemistry Lab | 0 | 0 | 4 | 2 | 40 | 60 | 100 |
Engineering Lab | LC | Programming for problem solving Lab | 0 | 0 | 4 | 2 | 40 | 60 | 100 |
Engineering Course | LC | Workshop/Manufacturing Practices | 1 | 0 | 4 | 3 | 40 | 60 | 100 |
Total | 10 | 2 | 12 | 18 |
Eligibility
Program | Criteria for Merit | Eligibility | Criteria for Merit |
---|---|---|---|
B.Tech Computer Science and Engineering (Data Science) | 4 Years (8 Semesters) | First Year: Passed 10+2 examination with Physics/ Mathematics / Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship/ Agriculture stream (for Agriculture Engineering) Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together. | Merit based on Vels Entrance Examination and percentage of mark secured in the qualifying examination |
Career Prospects
CAREER PROSPECTS
- Data Scientist
- Data Engineer
- Data Analyst
- Data Journalist
- Data Visualization
- Specialist
- Database Admin
- Financial Analyst
- Business Analyst
- Product Analyst
- Functional Analyst
- Business Intelligence
- Analyst
- Marketing Analyst
- Quantitative Analyst
- Data System Developer
Fees structure
Tuition Fee 2023 - 2024 (Per Sem) | Other Fee (Per Sem) | Total Fee (Per Sem) |
---|---|---|
1,30,000 | 9,000 | 1,39,000 |