MCA in Data Science(Industry Integrated)
The School of Engineering and Computing at Dev Bhoomi Uttarakhand University an MCA College in Uttarakhand offers a 2-year postgraduate course called the Master of Computer Application with Specialization in Data Science (MCA in Data Science). This course aims to prepare professionals for advanced learning systems that are based on data science algorithms.
The global data science sector is one of the industries with the strongest growth rates. Technical experts who have experience in computer science, applications, and data science are in high demand.
The MCA in Data Science will assist professionals in implementing data science concepts into computer systems. It will help you build solid computing foundations as well as an insightful analytical mind. The programme begins with a comprehensive software and computer applications curriculum before digging deeper into data science and analytics techniques using an artificial intelligence approach.
Salient Features
- 18+ 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
Eligibility & Fee Details
Duration & Eligibility
2 Years
"The candidate must have passed graduation with recognized Bachelor’s degree of minimum 3 Yrs duration with Mathematics at 10+2 level. Obtained at least 50% (45% in case of candidate belonging to reserved category) at the qualifying examination."
Fee Structure |
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| Course | Total Fees | ||
| Academic fee ( Per Sem) | ₹ 40000/- | ||
| Industry Integrated Specialization (Per Semester) | ₹ 12,500/- | ||
One Time Fee |
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| Application Fee (Non-Refundable) | Admission Fee (Non-Refundable) | Caution Money (Refundable after completion of programme) | University Enrollment Fee (Non-Refundable) |
| ₹ 1,500 | ₹ 6,500 | ₹ 1,500 | ₹ 2,000 |
| Exam fees ( Per Semester) | 4,500/- | ||
| Annual Charges (Per Year) | 3,500/- | ||
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. |
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