New! ODL -DEB Proposal 2023-2024 New! Admission 2023-2024 Chat with a Student

B.Tech CSE in (Artificial Intelligence and Data Science) *

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 IHours/WeekMaximum Marks
CategoryCourse codeCourse TitleLectureTutorialPracticalCreditsCA SEETotal
Basic ScienceBSC Chemistry31044060100
Basic ScienceBSCMathematics – I
(Calculus & Linear Algebra)
Engineering CourseESCProgramming for Problem Solving
Basic Science LabLCChemistry Lab00424060100
Engineering Lab
LCProgramming for problem solving Lab00424060100
Engineering CourseLCWorkshop/Manufacturing Practices10434060100

View Full Curriculum


ProgramCriteria for MeritEligibilityCriteria 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


  • 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 9,0001,39,000

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