Data Science

MCA in Data Science
School
Program

Degree name
B. C. A. (Hons.) in Data Science

This program is designed and aligned with industry 4.0 and 5.0. It aims to provide a solid foundation in Mathematics, Statistics, Competitive Programming, Internship, and Research to develop younger minds to work as a team and improve programming and leadership skills. At the end of the program, the learners can become computer software experts and take up careers in the software industry.

Program USPs  

  • All courses are Hands-on: All sessions are covered using Tools.
  • Andragogical Teaching Methodology Aligned with Industry 4.0/5.0: Most of the courses are focused on updated industry standards.
  • Industry Mentor for every student from 3rd semester onwards: Professionals from various industry sectors such as Finance, Insurance, and Mathematics act as mentors for the students from the 3rd semester. This ensures that students are always connected with the industry.
  • Group project during the third year: Students, in collaboration with the industry and the School of Mathematics and Natural Sciences get to take up group projects during the third year.
  • One Full Semester Internship in the relevant Industry: Students will be allocated internships or projects in various industry sectors. The students are guided, directed, and moulded by an external industry expert.

Electives

  • Python for Data Science
  • Data Analytics
  • Data Visualization and Interface
  • Big Data
  • Advanced Machine Learning
  • Mathematical Foundations for Data Science
  • Image Processing
  • Ethical & Professional Issues
  • Databases

Indicative Courses

  • Fundamentals of Computer
  • IT Equipment
  • Digital Electronics
  • Big Data
  • Operating Systems
  • Mathematical Foundations for Data Science
  • Image Processing
  • Databases

Course structure  

 

Sem

Discipline Core (DC) (Major/Minor)Open Elective

(OE)

Foundation Course (FC)Competence Course (CC)Total Credits
 

I

· Programming Fundamentals (4)

· Discrete Mathematics (4)

· India’s IT Industry: History and

Future (2)

 

Indian Intellectual Heritage (4)Language 1

(3)

Language 2

(3)

 

20

 

II

· Database Management Systems- I (3)

· Probability and Statistics (4)

· Computer Systems (3)

 

Critical Thinking (2) Appreciating

(He)Art(2)

Language 1

(3)

Language 2

(3)

 

20

 

III

· OOPS – Java (4)

· Data Structures algorithms (4)

· Database Management Systems-II (3)

· Statistical Inference with R (3)

 

OE-1 (3)

 

FC (4)

Language/ NCC/ NSS/

Sports/ Other (3)

 

24

 

IV

· Scripting Language (4)

· Mathematics for Machine Learning (2)

· Operating Systems (4)

· Software Development in Production

(4)

 

 

OE-2 (3)

 

Understanding Itihaas (4)

Technical Skills

Thinking Skills Research Skills (3)

 

24

 

 

V

 

· Data Mining (4)

· Introduction to Data Science /

· Introduction to Cyber Security/ Introduction to Cloud Computing (4)

· Minor (4)

 

 

OE – (3)

 

 

Appreciating Aesthetics (4)

Personal Skills Leadership Skills

Project Management Research

Skills (5)

 

 

24

 

 

VI

 

· Machine learning I (4) (Jupyter notebook)

· Data Visualization with Tableau (4)

· Design Patterns(4)

 

 

OE-4 (3)

Social Skills Citizenship Skills/ Life Skills SEVA/

Bharatheeyam Research

Skills (9)

 

 

24

VII· Machine Learning II / Elective I (4)

· Elective II (4)

· Elective III (4)

 

 

12
 

VIII

 

· Internship/Research (4)

· Minor (8)

 

 

 

12

Total96122032160