BTech
Computer Science and Engineering (Data Science)

Pursue Bachelors of Technology in Computer Science and Engineering with Data Science

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OVERVIEW

PEOs

POs

PSOs

ELIGIBILITY

COURSE DETAILS

Course Name : Bachelor of Technology in Computer Science and Engineering (Data Science)

Computer Science and Engineering (Data Science) is a 4 year, 8 semesters undergraduate program which is a new, exponentially growing field that consists of a set of tools and techniques used to extract useful information from data. The program encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems.

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Data Inference.

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Algorithm Development.

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Analytical solution to complex problems.

The program imparts a confluence of skills in three major areas of mathematical expertise, technology hacking skills, and business strategy and acumen. 

The core of this program is the ultimate use of enormous data in creative ways to generate business value. Hidden insights are brought to the fore to enable companies to make smarter business decisions. Data Science program orients on practical classes and self-study during the preparation of datasets and programming of data analysis tasks. This course emphasis on to develop the necessary skills for the students to sustain in today’s industrial expectation, in the pursuit of excellence by keeping high personal and professional values and ethics.

Approved Intake

60

Course Duration

4yrs

Course Credits

155

Total Semester

8

Programe Educational Objectives

  1. Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  2. Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  3. Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  4. Life Long Learning : Accomplish holistic development comprehending professional responsibilities

Programe Outcomes

  1. An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  2. An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  3. An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  4. An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  5. An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  6. To understand the impact of contextual knowledge on social aspects and cultural issues.
  7. An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  8. An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  9. An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  10. An ability to communicate effectively.
  11. An understanding of computer science and engineering & management principles to manage software projects.
  12. A recognition and realization of the need for, and an ability to engage in lifelong learning.

Programe Specific Outcomes

  1. Data Science : To utilize Data Science principles to formulate the appropriate solutions for the real world problems
  2. Data Analytics : To assess the models of data analysis, quality of inputs and investigate the issues.
  3. Service Learning : Analyze Social Relevant Problems and design solutions through Service Learning

Eligibility Details

Course Name : Bachelor of Technology in Computer Science and Engineering (Data Science)

Basic eligibility for the programme is a pass at the +2 level (Karnataka PUC / ISC / CBSE / NIOS / State Boards) Examination from any recognised Board with a minimum aggregate of 50% marks in Physics, Chemistry, Mathematics. Candidates should have studied Mathematics, Physics and Chemistry at Class XII level and obtained a minimum of 50% marks in Mathematics.

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Candidates writing the +2 examinations in March-May may apply with their class X and XI marks.

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Students pursuing International curriculum must note that eligibility is according to AIU stipulations:
Applicants pursuing IB curriculum must have 3 HL and 3 SL with 24 credits.
Applicants pursuing GCE / Edexcel must have a minimum of 3 A levels, grades not less than C

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Lateral Entry:
Candidates who have successfully completed the 3 year diploma in Engineering are eligible to apply for lateral entry into engineering programmes.

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