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The MCA in Data Science at UPES Online is a two-year specialised degree programme designed to equip learners with comprehensive and practical expertise in the fields of data analytics, computer science, and software development. The programme enables professionals and graduates to advance their careers without compromising on work-life balance.
The curriculum of MCA in Data Science at UPES Online integrates core computer applications with emerging data science technologies, preparing students to thrive in leadership and innovation-driven roles within the rapidly evolving IT ecosystem. The programme is apt for working professionals, aspiring entrepreneurs, and tech enthusiasts, paving a future-ready pathway to success.
To be eligible for the UPES Online MCA in Data Science, applicants must meet the following criteria:
A Bachelor’s degree (B.E. / B.Tech./ B.Sc / B.Com. / B.A./ B. Voc./ BCA) preferably with Mathematics at 10+2 level or at Graduation level.
Obtained a minimum of 50% marks in the qualifying examination.
Candidates who have not studied Mathematics /IT/Computer Science in Class 12 / 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.
Candidates with minimum 2 years of work experience must have a Bachelor's degree or equivalent in any discipline from a recognised university/institution with minimum 45 percent aggregate marks.
Admission to the MCA in Data Science at UPES Online is conducted in online mode. Eligible candidates begin the admission by submitting the online application form through the official website. After the initial screening, shortlisted applicants are contacted by admission counselors for guidance on the next steps.
Applicants must follow all the instructions to apply for UPES Online MCA in Data Science:
Step 1: Visit the official website - upesonline.ac.in/mca-with-specialisation-in-data-science
Step 2: Click on the ‘Apply Now’ option
Step 3: Submit the online application form
Step 4: Upload the necessary academic documents
Step 4: Await admission confirmation
Step 5: After confirmation, complete the admission by paying the admission fee
Step 6: Receive official admission confirmation and student login credentials for the online learning portal.
The MCA in Data Science syllabus at UPES Online is divided into four semesters, blending foundational computing principles with advanced data science concepts. The curriculum is designed to enable learners to handle real-world challenges in analytics, software development, and data-driven decision-making. The detailed UPES Online MCA Data Science syllabus is as follows:
Advance Python Programming
Data Base Management Systems
Discrete Mathematics
Object Oriented Programming using C++
Advance Data Structures
Fundamentals of Data Science
Web Technologies
Operating Systems
Design and Analysis of Algorithm
Java Programming
Data Visualization and Interpretation
Computer Graphics
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
Project Dissertation
Android Application Development
Cloud Computing for Data Science
Use of cloud platforms for data processing analysis and storage
Generative Artificial Intelligence
To assess students’ performance, UPES Online conducts internal assessments, assignments, and semester-end examinations for the Online MCA Data Science programme. These examinations assess both theoretical understanding and practical application.
The program is delivered through an interactive online learning platform with live classes, recorded lectures, and discussion forums.
Yes. International students with a relevant degree can apply for the programme.
Exams are conducted in an online mode. Evaluations include quizzes, assignments, project work, and semester-end proctored exams.
UPES offers career services, which includes placement assistance, resume building, mock interviews, and career counseling to help students pursue their desired careers.
Students get access to discussion forums, one-on-one mentorship, and doubt-clearing sessions. They also receive academic and technical support throughout the course.