Who can apply
- Bachelor's degree from a recognized university is required.
- Mathematics or Computer Science at graduation or 10+2 level is preferred.
- Final-year students can apply as per university rules.
DA
● Specialization
Postgraduate
Data Science
Data Science develops focused knowledge and practical skills relevant to Master of Computer Applications (MCA) and related professional fields. Curriculum and availability vary by institution.
About Data Science
Data Science Specialization
Data Science is a focused area of study available within or alongside relevant Master of Computer Applications (MCA) programmes, depending on the institution and curriculum. It develops subject knowledge, applied skills and problem-solving approaches used in this discipline.
What You May Study
Typical learning areas may include foundational concepts, specialist methods and tools, current industry practices, case studies, practical assignments, and a capstone or research project. The precise syllabus, electives and practical requirements vary by university and programme.
Skills and Learning Outcomes
Students can develop analytical thinking, communication, domain-specific knowledge, research skills and the ability to apply concepts to practical situations. Hands-on projects, internships and relevant certifications may strengthen the learning experience where available.
Who Should Consider This Specialization?
This specialization may suit learners interested in data science and related professional pathways. Applicants should review each institution's eligibility rules, curriculum, accreditation or regulatory requirements, delivery mode and available facilities before choosing a programme.
Career Scope
Career options depend on the learner's qualification, skills, experience, location and employer requirements. The specialization may support entry-level or advanced roles related to data science, further study, research or professional development.
Program Admissions
Eligibility & Admission
Requirements are set at the course level for Master of Computer Applications (MCA).
Level Postgraduate
Duration 2 Years
Offered by 18 Universities
How admission works
- 1Check eligibility and shortlist your universities.
- 2Fill the online application form.
- 3Submit the required documents.
- 4Appear for the entrance exam or merit review, if the university needs one.
- 5Pay the fees and confirm your seat.
Academic Foundation
10 subjects
Curriculum & Core Subjects
Key subjects covered within the Master of Computer Applications (MCA) curriculum associated with this specialization.
Advanced Data Structures & Algorithms
Advanced Database Management Systems
Software Engineering
Web Technologies
Cloud Computing
Artificial Intelligence & Machine Learning
Computer Networks & Cyber Security
Programming with Java / Python
Mobile Application Development
Major Project
Professional Scope
Career Scope & Opportunities
Roles this specialization can lead to.
Data Science Specialist
Applies domain knowledge to relevant projects and operational needs.
Analyst
Reviews information, identifies patterns and prepares findings to support decisions.
Consultant or Associate
Supports clients or teams with research, implementation and problem-solving.
Project or Operations Coordinator
Helps plan, document and deliver work within the specialization.
Research or Further Study
Pursues advanced study or research where eligible. Actual job titles and eligibility vary by employer, region and experience.
Partner Institutions
Universities Offering Data Science
Explore universities where you can find programs related to this specialization.
SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
📍 Mumbai, Maharashtra
Data Science
View University
University of Petroleum and Energy Studies (UPES)
📍 Dehradun, Uttarakhand
Data Science
View University
Common Inquiries
Frequently Asked Questions
Clear answers to key questions about this specialization and program.
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What is the eligibility for an MCA course?
Candidates who have completed a bachelor's degree from a recognized university can apply for an MCA course. Mathematics or Computer Science background may be preferred depending on the university's admission requirements.
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