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MCA in Data Science

MCA in Data Science

(Industry Integrated)

Our School of Engineering and Computing 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 academic experience
  • 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 & Fee Details

Duration & Eligibility

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 Fees
Academic fee ( Per Sem) ₹ 45000/-
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

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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


Semester 1

Course Code Course Credit
21MCA101 Mathematical Foundation for Computer Applications 4
21MCA102 Data Structures with Algorithms 3
21MCA103 Advanced Database Management System 3
21MCA104 Computer System Architecture 3
21MCA105 Python Programming 3
21MCA106 Recent IT Trends 3
21MCA191 Life Skills for Professionals 2
23AEC091 Ability Enhancement Course-I 1
21MCA181 Data Structures with Algorithms Lab 1
21MCA182 Advanced Database Management System Lab 1
21MCA183 Computer System Architecture Lab 1
21MCA184 Python Programming Lab 1

Semester 2

Course Code Course Credit
21MCA201 Operating System with Unix 3
21MCA202 Object Oriented Programming 3
21MCA203 Design & Analysis of Algorithm 3
21MCA204 Advanced Web Technologies 3
21MCA205 Artificial Intelligence 3
21MCA221X Programme Elective-I 3
23AEC092 Ability Enhancement Course-II 1
23OE26X Open Elective-I 2
21MCA281 Operating System with Unix Lab 1
21MCA282 Object Oriented Programming Lab 1
21MCA283 Design & Analysis of Algorithm Lab 1
21MCA284 Advanced Web Technologies Lab 1
VAM203XX Value Added Course-I 0
Social Internship of 3-4 weeks duration in summer vacation after completion of Second Semester, to be evaluated during 3rd semester.

Semester 3

Course Code Course Credit
21MCA301 Advanced Computer Networks 3
21MCA302 Advanced Software Engineering 4
21MCA303 Big Data Analytics 3
21MCA304 Full Stack Development 3
21MCA321X Programme Elective-II 3
21MCA322X Programme Elective -III 3
23AEC093 Ability Enhancement Course-III 1
23OE36X Open Elective-II 2
21MCA381 Advanced Computer Networks Lab 1
21MCA382 Big Data Analytics Lab 1
21MCA383 Full Stack Development Lab 1
23PSPR391XX Minor Project – I 1
23SOCIALIN391 Social Internship 1
VAM303XX Value Added Course-II 0

Semester 4

Course Code Course Credit
23PSPR491XX Industrial Project /Dissertation 12
Programme Elective

Programme Elective-I

21MCA221A Data Mining and Warehousing
21MCA221B Cryptography and Network Security
21MCA221C Mobile Application Development
21MCA221D Introduction to Internet of Things (IOT)

Programme Elective-II

21MCA321A Digital Image Processing
21MCA321B Cyber Security
21MCA321C Cloud Computing
21MCA321D Advanced Wireless Networks

Programme Elective-III

21MCA322A Computer Vision
21MCA322B Computer Forensics
21MCA322C Software Project Management
21MCA322D Machine Learning

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
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Admission 2023-24

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