School of Computer Information and Mathematical Sciences

BCA Data Science

Eligibility for BCA Programme with Dual Specialization

BCA – Dual Specialization

The minimum qualification required to apply is a pass in 10+2 examination or equivalent examination with a minimum of 50% overall aggregate of marks from any recognized Central or State Board with Mathematics as one of the core subjects. A course recognized as equivalent thereto by the Institute. Candidates date of birth should fall on or after 1st July 1998.

Name of the Programme Tuition Fee Per Semester(INR)
BCA Data Science 40,000/-

Refund Rules

S.No. Percentage of Refund of Fee Point of time when notice of withdrawal of admission is received in the HEI
1 100%* 15 days or more before the formally-notified last date of admission
2 90% Less than 15 days before the formally-notified last date of admission
3 80% 15 days or less after the formally-notified last date of admission
4 50% 30 days or less, but more than 15 days, after formally-notified last date of admission
5 00% More than 30 days after formally-notified the last date of admission

*The processing fee of 5% of fee paid will be deducted

Amenity Fee – One time payment at the time of admission
1 Amenity Fee Rs 15,000/-
2 Caution Deposit(Refundable) Rs 5,000/-
Total Rs 20,000/-
Hostel Fee
*Hostel Fee per Year 
1 Establishment Charges Rs 40,000/-
2 Boarding Charges (Advance) Rs 50,000/-
Total Rs 90,000/-

*Caution Deposit (Refundable)( one time payment): 5000/-

Transport Charges
*Transport Charges per Year (Optional)
1 A.C. Bus Rs 40,000 – 50,000/-

*Transport charges varies based on the distance

Programme Educational Objectives

  • Produce graduates who will be competent professionals in IT industry, academics, government, or entrepreneurs
  • Adapt to the fast changing world of Information Technology needs
  • Become effective collaborators and through innovative methodologies, they will be able to address the social, technical and business challenges
  • Be a good team player and in course of time will be able to lead the team to find solutions and improvements in their field of expertise
  • Communicate efficiently and effectively
  • Function in multiple disciplinary teams
  • Understand the need for lifelong learning and IT skill up gradation, through taking up certifications or higher education
  • Understand professional and ethical responsibilities

Programme Outcomes

  • Ability to apply the knowledge of mathematics, science and information technology concepts
  • Have basic knowledge of programming and create first level programs
  • To Fulfill the concept of Statistics and Probability with Statistical Analysis
  • Implement Statistical concept for Data Analysis using tools
  • Knowledge of RDBMS with programming language used for Data Science
  • Applying data analysis on Big Data
  • Have knowledge of Artificial Intelligence with Machine Learning Algorithms
  • Ability to communicate efficiently with team

Click here for Detailed Syllabus