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 |
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
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 |
Practical | ||
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 |
TOTAL | 26 |
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 |
Practical | ||
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. | ||
TOTAL | 25 |
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 |
Practical | ||
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 |
TOTAL | 27 |
Semester 4
Course Code | Course | Credit |
---|---|---|
Practical | ||
23PSPR491XX | Industrial Project /Dissertation | 12 |
TOTAL | 12 |
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
Admission 2023-24