UPES Online MCA in Data Science
Course Overview
UPES gives a strong 2-year online MCA in Data Science, built for IT grads who want top data and ML careers.
Students gain Python and TensorFlow skills, and learn ML, data visual, SQL, and Hadoop basics each term.
Students build strong data model and ML skills, and sharpen their data pipeline and report work every week.
Graduates win top Data Scientist and ML roles, and top tech and data firms hire UPES grads with great pay.
Accreditations
UPES is NAAC A grade accredited (CGPA 3.02) and UGC-DEB approved. The online MBA also holds AICTE approval, and degrees carry WES recognition for the US and Canada.
DEB
NIRF
AICTE
AIU
Course Highlights
Designed to deliver industry-relevant skills, academic excellence, and career growth
- UPES holds UGC-DEB nod, and this online mca in data science in upes meets all national study rules. Tech and data firms trust UPES, and they accept the mca in data science online program in upes with great faith. The data science in mca online in upes covers Python, TensorFlow, ML, data visual, and SQL, and live labs make each class real. A tech degree gets students in, and no exam holds them back at all. UPES staff run live data labs, and real tech work shapes each module and builds great skills. Students build a strong ML model and a data science capstone, and this final work proves true data skill. The mca data science online course in upes suits all IT grads, and has wide scope.
Course Benefits
UPES gives this UGC-DEB MCA in Data Science, and its 2-year plan suits all IT grads who want top data careers.
Students master Python, TensorFlow, ML, and SQL skills, and real data labs each term build true work skills fast.
UPES links students to top tech and data firms, and Data Scientist and ML roles open up wide.
Low fees and EMI plans help students join, and a tech degree is all they need to start today.
Course Fees
The fee structure for this UPES Online MCA in Data Science is designed to be affordable and flexible for both freshers and working professionals
Total 4 semester
INR 42,500 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 1,70,000
*Inclusive of all taxes
EMI starting at
INR 7,083 / Month
*Terms & Conditions apply
Eligibility
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Passed any graduation degree (e.g.: B.E. / B.Tech./ B.Sc / B.Com. / B.A./ B. Voc./ BCA etc.,) preferably with Mathematics at 10+2 level or at Graduation level. Obtained at least 50% marks in the qualifying examination.
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For candidates with Non-Mathematics /IT/Computer Science background
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Candidates who have not studied Mathematics /IT/Computer Science in XII std. / Graduation, will be required to complete a Basic Mathematics/Basic Computer Information Systems course, respectively. Final admission will be subject to qualifying the aforesaid course within 6 weeks of provisional admission.
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Relaxation in Eligibility Criteria for Candidates with Work Experience
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1. Candidates with minimum 2 years of work experience must have Bachelor's degree or equivalent in any discipline from a recognized university/institution with minimum 45 percent aggregate marks.
Who Can Apply ?
• Graduates with a bachelor's degree with 50% marks (45% for reserved category) can apply directly to this data science program.
• Working professionals switching into data science gain a flexible, fully online path without leaving their job.
• Ready to grow fast? Apply today, admissions run on a rolling basis for most UPES Online programs.
Course Syllabus
Semester 1
Advance Python Programming
Data Base Management Systems
Discrete Mathematics
Object Oriented Programming using C++
Advance Data Structures
Fundamentals of Data Science
Semester 2
Web Technologies
Operating Systems
Design and Analysis of Algorithm
Java Programming
Data Visualization and Interpretation
Computer Graphics
Semester 3
Object-Oriented Analysis and Design Using UML
Computer Networks
Advanced Java Programming
Software Engineering and Project Mgmt
AR/VR Development
Machine Learning and Deep Learning
Semester 4
Project Dissertation
Android Application Development
Cloud Computing for Data Science
Use of cloud platforms for data processing analysis and storage
Generative Artificial Intelligence
Job Roles
Connect with our expert counsellors to get personalized guidance tailored to your unique career journey. Whether you're exploring new opportunities or planning your next big step, our team is here to support you at every stage with clarity and confidence.
Get one-on-one guidance based on your academic background and experience
Discover programs aligned with your career goals and future aspirations
Receive insights on industry trends, job roles, and growth opportunities
| Job Roles | Average Salary | Key Skills | Age Group |
|---|---|---|---|
| Data Analyst, Junior Data Scientist, ML Engineer Trainee | ₹8 LPA | Python, Machine Learning, SQL | 22 |
| Data Scientist, Analytics Manager, ML Engineer | ₹19 LPA | Deep Learning, Tableau, Statistical Modelling | 25 |
Top Recruiters
Top recruiters for this course include Google, Amazon, Accenture, and Deloitte. Companies like Infosys and Tata Consultancy Services provide strong opportunities in tech and management roles.
Explore Other Specializations from UPES Online
FAQs
What is the total fee for the UPES Online MCA in Data Science?
The total fee for UPES Online MCA in Data Science is ₹1,70,000 for the two-year programme. Students should check the latest fee structure before applying.
What is the syllabus for Online MCA in Data Science in UPES?
This MCA in Data Science from UPES covers data analysis and programming. You'll also learn statistics, machine learning, database management, data visualisation, and data-driven decision-making. It builds strong, practical technical skills for working with large, complex datasets.
How can I apply for the MCA in Data Science Online Program at UPES?
Complete the online application process first. Then submit your academic and identity documents. Follow the latest admission guidelines from UPES, University of Petroleum and Energy Studies, and for extra guidance on eligibility, documents, and each step, CourseConnect's admission counselling team can help.
How long does it take to complete UPES Online MCA in Data Science?
It takes 2 years to complete the entire course. The online setup offers real flexibility for students and working professionals seeking advanced knowledge in computer applications and data science.
Am I eligible to apply for the Data Science MCA Online at UPES?
You'll need any graduation degree, like B.E., B.Tech., B.Sc., B.Com., B.A., B.Voc., or BCA, ideally with Mathematics at 10+2 or graduation level. A minimum of 50% marks works well. Without Mathematics, IT, or Computer Science, a short basic course within six weeks of provisional admission covers the gap nicely. With two years of work experience, the requirement drops to 45% marks.
Can MCA Data Science Online Course at UPES be done online?
Yes. The programme offers real flexibility, so eligible professionals can build valuable data science and computing skills while continuing their careers confidently.
Is the University of Petroleum and Energy Studies Online MCA in Data Science valid?
Yes, UPES offers this programme with proper institutional standing. Still, it's smart to check the latest university and regulatory information to confirm current approval status.
Is the Online MCA in Data Science at UPES a good career?
Yes, if data analytics, machine learning, or business intelligence interests you. The programme combines solid computer application knowledge with specialised data science skills. A strong option for career growth too.
What is the salary after completing the UPES Online MCA in Data Science?
Around ₹12,00,000 a year on average, a promising number to start with. Actual earnings vary with technical skills, experience, certifications, job role, employer, industry, and location.
Can I get a job after the UPES Online MCA in Data Science?
You could land roles like Data Scientist or Data Analyst. Machine Learning Analyst and Business Intelligence Analyst are strong options too. Technology, finance, healthcare, and e-commerce industries all welcome these skills.