Online MCA in Data Science - UPES
The Online MCA in Data Science from UPES is designed for graduates seeking expertise in data science, machine learning, and analytics. This comprehensive program combines theoretical knowledge with practical applications, preparing students for high-demand roles in the data science industry. The curriculum covers advanced programming, database management, machine learning, cloud computing, and specialized data science applications. Students gain hands-on experience with industry-standard tools and technologies while developing critical problem-solving skills. The program offers flexible learning options with expert faculty guidance and comprehensive career support services.
Instructors:
Dr. Varun Sapra
Lalit Sachan
English
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Course Start Date:
Starting soon
Application Deadline:
Closing soon
Duration:
24 Months
₹ 1,70,000
Overview
The Online MCA in Data Science from UPES is a comprehensive 24-month program designed to equip students with advanced skills in data science, machine learning, and analytics. This program combines rigorous academic curriculum with practical industry applications, preparing graduates for leadership roles in the rapidly growing data science sector. Students will master programming languages, database systems, statistical analysis, and cutting-edge technologies while developing critical thinking and problem-solving abilities essential for data-driven decision making.
Why Master of Computer Applications (MCA)?
This program is ideal for graduates who want to transition into high-demand data science careers. With the exponential growth of data generation across industries, professionals with advanced data science skills are increasingly sought after. The program offers flexible online learning, expert faculty guidance, and comprehensive career support, making it perfect for working professionals and fresh graduates alike. Students gain exposure to real-world projects and industry-standard tools, ensuring they are job-ready upon graduation.
What does this course have to offer?
Key Highlights
Industry-focused curriculum with latest data science technologies
Flexible online learning format
Expert faculty from industry and academia
Global certifications from prestigious universities
Comprehensive career support services
Hands-on experience with real-world projects
Access to specialized Coursera courses
Interactive learning environment
Who is this programme for?
Working professionals seeking career transition to data science
Recent graduates with interest in analytics and programming
IT professionals wanting to specialize in data science
Students passionate about big data and machine learning
Professionals in finance, healthcare, or e-commerce industries
Individuals interested in research and development roles
Minimum Eligibility
Graduation with 50% marks preferably with Mathematics at 10+2 level or at Graduation level
Minimum 50% marks in qualifying examination
Relaxation available for candidates with minimum 2 years work experience (45% marks required)
Who is the programme for?
Admission is open for graduates with 50% marks in any discipline, preferably with Mathematics background. The program follows a semester-wise structure with comprehensive academic support. Students must complete prerequisite courses if they lack Mathematics or Computer Science background. The admission process is designed to accommodate diverse academic backgrounds while ensuring students are prepared for the rigorous curriculum.
Important Information
Selection process
How to apply?
Curriculum
The curriculum spans four semesters covering fundamental to advanced topics in data science. Core subjects include Python programming, database management, machine learning, data visualization, cloud computing, and software engineering. Students also study advanced topics like generative AI, computer networks, and project management. The program emphasizes practical learning through projects, case studies, and industry applications, ensuring graduates are well-equipped for professional challenges.
There are 4 semesters in this course
Semester I: Advanced Python Programming, Database Management Systems, Discrete Mathematics, Object Oriented Programming using C++, Advanced Data Structures, Fundamentals of Data Science\n\nSemester II: Web Technologies, Operating Systems, Design and Analysis of Algorithm, Java Programming, Data Visualization and Interpretation, Computer Graphics\n\nSemester III: Object-Oriented Analysis and Design Using UML, Computer Networks, Advanced Java Programming, Software Engineering and Project Management, AR/VR Development, Machine Learning and Deep Learning\n\nSemester IV: Project Dissertation, Android Application Development, Cloud Computing for Data Science, Generative Artificial Intelligence, specialized electives and capstone projects
SEMESTER I
SEMESTER II
SEMESTER III
SEMESTER IV
Programme Length
The program duration is 24 months, structured across four semesters. Students can choose flexible scheduling options to accommodate their professional commitments. The curriculum is designed to progressively build skills from foundational concepts to advanced applications, ensuring comprehensive learning outcomes.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Dr. Varun Sapra
Sr. Associate Professor
Dr. Varun Sapra is a highly-motivated and experienced computer science professional with a profound understanding of the field and a passion for sharing knowledge. He is an accomplished academic professional with 18 years of experience in both academia and industry. Holding a Ph.D. in Computer Science, he brings a wealth of expertise to his teaching and research endeavours. He has an impressive track record of instructing both undergraduate and graduate courses in various computer science subjects. His core interest areas cover topics such as programming languages, artificial intelligence, machine learning, and software engineering. By employing innovative teaching methods, he engages students and cultivates critical thinking and problem-solving skills.
Lalit Sachan
Director, Centre for Data Science & AI Research, UPES
Lalit Sachan is the co-founder and head of data science vertical at Edvancer Eduventures. He holds a Master’s degree in Statistical Modelling Theory & Application, Quality, Reliability and Operations Research and B.Tech in Biological Science and Bio Engineering. A corporate trainer in data science & Al for top companies like EY, PC, Deloitte, GE, HDFC Bank Co-founded Edvancer Eduventures and the Data Science and AL/ML domain.
Tuition Fee
The total program fee is ₹1,70,000 with flexible payment options including monthly installments of ₹7,727. Merit scholarships are available for eligible candidates. The fee structure includes access to learning materials, online resources, and career support services. International student fees may vary.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
The program offers a dynamic online learning experience with interactive study materials, case study-based pedagogy, and expert faculty guidance. Students engage with cutting-edge technologies and real-world applications through virtual labs and project work. The learning environment promotes collaborative learning with peer interactions and mentorship opportunities. Regular webinars, workshops, and masterclasses by global faculty enhance the educational experience.
University Experience
UPES Online provides a comprehensive university experience with access to digital libraries, student support services, and alumni networks. Students become part of a prestigious institution ranked among top Indian universities by NIRF. The university offers various extracurricular activities, industry connections, and research opportunities. Students receive institutional email access and can participate in university events and community programs.
Word from the Directors
Lalit Sachan
Director, Centre for Data Science & AI Research, UPES
Expert faculty with extensive industry experience and strong academic backgrounds guide students through their learning journey. The program benefits from faculty expertise in data science, artificial intelligence, and emerging technologies.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
UPES Dehradun is a leading multi-disciplinary university in India established through the UPES Act, 2003, and recognized by the UGC. Known for its specialized focus on energy, engineering, management, law, computer science, design, and allied sectors, UPES has been consistently ranked among the top private universities nationally and globally. The university is notable for industry-aligned programs, strong research culture, highly employable graduates, and collaborative partnerships with world-leading institutions and corporations.
#901-950
QS world university ranking
#148
QS Asia Ranking
#100
NIRF India Ranking
Affiliation & Recognition
UGC
NAAC
NIRF
CERN
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Dr. Varun Sapra
Sr. Associate Professor
Dr. Varun Sapra is a highly-motivated and experienced computer science professional with a profound understanding of the field and a passion for sharing knowledge. He is an accomplished academic professional with 18 years of experience in both academia and industry. Holding a Ph.D. in Computer Science, he brings a wealth of expertise to his teaching and research endeavours. He has an impressive track record of instructing both undergraduate and graduate courses in various computer science subjects. His core interest areas cover topics such as programming languages, artificial intelligence, machine learning, and software engineering. By employing innovative teaching methods, he engages students and cultivates critical thinking and problem-solving skills.
Lalit Sachan
Director, Centre for Data Science & AI Research, UPES
Lalit Sachan is the co-founder and head of data science vertical at Edvancer Eduventures. He holds a Master’s degree in Statistical Modelling Theory & Application, Quality, Reliability and Operations Research and B.Tech in Biological Science and Bio Engineering. A corporate trainer in data science & Al for top companies like EY, PC, Deloitte, GE, HDFC Bank Co-founded Edvancer Eduventures and the Data Science and AL/ML domain.
Career services
UPES Dehradun provides a robust, multi-faceted career services ecosystem, designed to maximize employability and professional success for its diverse student body. The centralized Career Services team offers students ongoing support at every stage of their program, integrating industry internships, skill workshops, resume building exercises, and interview preparation into the core academic experience. Career counseling features a blend of group and personalized mentoring, delivered by experienced in-house specialists and strong industry partners. The university regularly hosts career fairs, sector-specific job weeks, and networking events, giving students direct access to leading recruiters.
94%
Placement rate
INR 50.09 LPA
Highest package
INR 7–8.5 LPA
Average package
Top Recruiters
Course Start Date:
Starting soon
Application Deadline:
Closing soon
Duration:
24 Months
₹ 1,70,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.