MCA in
Data Science
(Industry Integrated)

Engineering MCA

Our Department of Computer Application offers the industry-integrated MCA in Data Science program. This 2-year postgraduate course aims to equip professionals with the necessary skills to thrive in the rapidly growing global data science sector.

The Masters in Data Science program prepares technical experts in computer science, applications, and data science, addressing the high demand for such professionals. It provides a strong foundation in computing while fostering an analytical mindset. The curriculum begins with a comprehensive focus on software and computer applications and then delves deeper into data science and analytics techniques using an artificial intelligence approach.

The program integrates industry-relevant practices and expertise. It covers essential topics like machine learning, statistical analysis, data visualization, and big data technologies. Graduates of this program can pursue diverse career paths in data analysis, business intelligence, and data engineering, leveraging their expertise in the field of data science.

Salient Features

  • 19+ years of excellence
  • Focus on student-centered learning
  • Problem-based learning and industry-relevant curriculum
  • Best placement opportunities to get placed in high-end and reputed companies
  • Industrial training in reputable firms and organizations
  • The privilege of 100% placement guidance and support
  • Department-organized tech fests and hackathons
  • Industry visits, seminars, workshops, and guest lectures by eminent researchers and industry practitioners
  • Active student clubs and bodies
  • The multi-cultural and vibrant teaching environment

Admissions Open-2024

Merit-based admission process with online application at Dev Bhoomi Uttarakhand University.

Eligibility & Duration

  • Duration : 2 Years
  • Passed BCA/BSC (CS)/B.Sc IT/ BE (IT)/B.Tech (IT) or equivalent degree or passed any graduation degree preferably with Mathematics at 10+2 level or at graduation level (With additional bridge course for non-mathematics backgrount students) at least 50% (45% for reserved cateogry) at the qualifying examination.

Fee Structure

Course Total Fee
Academic fee ( Per Sem) ₹ 45,000/-
Industry Integrated Specialization (Per Semester) ₹ 12,500/-

One Time Fee

Application Fee (Non-Refundable) Admission Fee (Non-Refundable) University Enrollment Fee (Non-Refundable)
₹ 1,500 ₹ 7,000 ₹ 3,000
Exam fees ( Per Semester) ₹ 4,500/-
Download Fee Structure Click here

Program Educational Objectives (PEO's)

PEO-1 Graduates will be able to demonstrate proficiency in data statistical analysis.
PEO-2 Graduates will use expert statistical software to carry out scientific analyses.
PEO-3 Graduates will exhibit data management proficiency.
PEO-4 Graduates will gain the capacity to construct and evaluate data-based models.
PEO-5 Graduates will use data science principles and techniques to address issues in practical settings and effectively convey their solutions.

Program Specific Objectives (PSO's)

PSO-1 Computer application knowledge: Apply your understanding of basic arithmetic concepts and computing principles to a variety of real-world applications for any given need.
PSO-2 The ability to analyse problems from complex business situations and current concerns, to explore, comprehend, and to suggest comprehensive solutions utilising cutting-edge technical techniques.
PSO-3 Design/Development of Solutions: Create apps that address any required needs while giving due respect to societal and environmental factors.
PSO-4 Individual and Team Work: Work well on interdisciplinary projects as a team leader and team member to show leadership and management abilities.
PSO-5 Create and develop novel approaches to solving complicated issues for the benefit of society.

Program Grid Structure

Job Opportunities
The Course Might Lead To

The MCA in Data Science opens up several job opportunities. Here are some of the highest-paying careers you may pursue after earning your MCA in data science.

  • Business Intelligence Analyst
  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Machine Learning Engineer
  • Quantitative Analyst
  • Operations Analyst
  • Marketing Analyst
  • IT Systems Analyst
Job Opportunities

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