Bachelors in Computer Application

BCA with Specialization in (Data Science)

In the dynamic and fast growing world of computer application/ information technology, there is a rapid changes taking place. Companies need young computer experts who are able to use latest information technologies and systems to provide solutions to critical business decisions. Data Science is one such cutting-edge technology which uses scientific methods, processes, algorithms and systems to solve real world business problems by extracting insights from structured and unstructured data.

Scope of Data Science:

Data Science is a broad field that has data at its core, as the name suggests. This data is accumulated, arranged and analyzed to examine its effect on businesses. Companies across all sectors of the industry have huge chunk of raw data which they want to convert in valuable information so that a better product or experience is created for the end customer. The inability of companies to handle these big amount of data with an increasing need to provide superior and customized business solution is resulting in huge requirement for Data Science Experts.

With a vision to create link between theory and practice and making a foundation in computing principles blended with the latest technology and best business practices, SRMU has collaborated with IBM to launch BCA with Specialization in Data Science. This program has been developed by the experts of IBM and university researchers, keeping in mind the need of competitive skills by the industry in future. It aims at developing skilled young professionals aiming the futuristic jobs and handsome remuneration, by the technology leader IBM.

  • Specialized curriculum designed by experts from IBM keeping in view the futuristic trends in industry
  • Access to specialized enterprise software of IBM through SRMU LAB
  • Opportunity to work on LIVE project followed with Real time business case studies
  • Study material designed and provided by IBM experts
  • Free of cost atleast three professional certification and courses worth $200 to $300 per course by IBM
  • Access to IBM LMS platform through institute domain.
  • Access of IBM software, course material and digital badge
  • Classes on specific subjects every semester by Subject Matter Experts from IBM.
  • Extensive industry exposure during the four years of engineering.
  • Industry Visit to IBM Research Lab
  • Participation in Various National and International competitions organized by IBM and its affiliated partners.
  • Joint certificate by IBM and SRMU on the completion of the degree program
  • Interaction with IBM leaders through various channels like workshop, quiz, call for code, hackathon, project training.
  • Flexible course offering can be anytime customized as per industry suggestion and market demand.
  • Increase Global hiring prospects

Eligibility Criteria

  • Candidate must have passed 10+2 or equivalent system from any recognized Central/State Board with Mathematics/Computer Science or related subjects with minimum aggregate marks of 45% or equivalent grade for GEN/OBC and 40% marks or equivalent grade for SC/ST Category. In case, candidate has passed 10+2 in any other stream with minimum aggregate marks of 45% or equivalent grade for GEN/OBC and 40% marks or equivalent grade for SC/ST Category, admission can be offered if has completed DOEACC 'O' Level certificate in Computer Science.

BCA (Data Science)

Duration (in year) 1 2 3
1. Tuition Fee Rs. 75,000/- Rs. 75,000/- Rs. 75,000/-
2. Examination Fee Rs. 8,000/- Rs. 8,000/- Rs. 8,000/-
3. Other Fees (Registration, Library, etc.) Rs. 9,000/- Rs. 9,000/- Rs. 9,000/-
Development Fund Rs. 8,000/- Rs. 8,000/- Rs. 8,000/-
Course Fee Rs.1,00,000/- Rs.1,00,000/- Rs.1,00,000/-
Caution Money Rs. 5,000/- - -
Total Fee Rs.1,05,000/- Rs.1,00,000/- Rs.1,00,000/-
Hostel Fees
(Fees + Caution Money)
Rs. 75000/- + Rs. 5000/- = Rs. 80000/-
Transportation Cost = Rs. 24,000/-

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Career Prospects (DS):

  • Analytics Manager
  • Business Analyst
  • Business Intelligence Analyst
  • Data Analyst
  • Data Scientist