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Online MCA In Artificial Intelligence & Data Science From Manipal University
Manipal University’s Online MCA in Artificial Intelligence & Data Science is an advanced postgraduate program that blends computer applications with modern AI and data-driven technologies. The program is designed to prepare learners for careers in data science, machine learning, and AI-powered application development across industries.
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- Overview
- Eligibility & Duration
- Syllabus
- Top Universities
- Admission Process
- Career Scope
- FAQ
Online MCA in Artificial Intelligence & Data Science Overview
What Is Online MCA in Artificial Intelligence & Data Science?
The Online MCA in Artificial Intelligence & Data Science is a two-year postgraduate program that provides strong foundations in AI, ML, data analytics, and advanced programming concepts.
It is suitable for graduates and working professionals seeking careers in AI engineering, data science, predictive analytics, and intelligent system design.
Online MCA in AI & Data Science Course Overview
The program combines computer science fundamentals with specialized knowledge in machine learning, data visualization, big data, and AI-driven decision-making.
Graduates are prepared for roles in IT services, research, consulting, fintech, e-commerce, and organizations leveraging AI and data science for innovation.
Given that, here is an overview of the entire program:-
OnlineMCA in Artificial Intelligence & Data Science Eligibility Criteria And Duration
The Online MCA in AI & Data Science at Manipal University is designed for graduates who aim to build a career in artificial intelligence, machine learning, and data analytics. Below are the eligibility criteria and course duration details:
Eligibility Criteria for Online MCA in AI & Data Science
- Educational Qualification :- Applicants must hold a bachelor’s degree in any discipline from a recognized university, with mathematics or statistics at 10+2 or undergraduate level.
- Minimum Marks Requirement :- A minimum of 50% marks in the qualifying degree is generally required. Relaxation may apply as per university norms.
- Preferred Background :- Basic knowledge of computer programming, logical reasoning, or quantitative aptitude is preferred for smooth learning progression.
Note:- Candidates without a computer science or IT background may need to complete foundation bridge courses in programming and mathematics.
Duration of Online MCA in AI & Data Science Course
- Standard Duration :- The Online MCA in AI & Data Science typically spans 2 years, divided into 4 semesters.
- Program Structure :- Curriculum includes artificial intelligence, machine learning, deep learning, big data technologies, and cloud-based AI applications.
- Flexible Completion Timeline :- Students may complete the program at their own pace within a maximum of 4 years, providing flexibility for working professionals.
- Accelerated Learning Option :- Highly motivated learners may fast-track their studies through additional credit courses or intensive project work.
Advantages of Pursuing an Online MCA in AI & Data Science from Manipal University
Pursuing an Online MCA in AI & Data Science from Manipal University offers numerous advantages that help professionals excel in AI-driven careers:
Why Choose an Online MCA in AI & Data Science in 2025?
In 2025, an Online MCA in AI & Data Science is a top choice for students and professionals seeking expertise in machine learning, predictive analytics, and artificial intelligence applications. Here’s why this program stands out:
- Work-Study Flexibility: Designed for both fresh graduates and working professionals, the program allows balancing academics with career commitments.
- Specialized AI & DS Skills: Covers trending technologies such as artificial intelligence, machine learning, natural language processing, and data visualization.
- Industry-Relevant Curriculum: Curriculum is aligned with AI and data science industry needs, making graduates employable in top IT, analytics, and consulting companies.
- Practical and Analytical Focus: Hands-on projects, coding practice, and real-world case studies prepare students for solving data-driven and AI-centric problems.
Online MCA in Artificial Intelligence & Data Science Syllabus
Online MCA in AI & Data Science Subjects and Syllabus
The Online MCA in Artificial Intelligence & Data Science provides a strong foundation in computer applications, programming, and system management, while integrating specialized subjects in AI, data science, and cloud computing.
The curriculum emphasizes both theory and hands-on training through coding labs, AI-focused electives, cloud technologies, and data analysis to prepare graduates for careers in AI engineering, machine learning, and data-driven industries.
How Are Online MCA in AI & Data Science Exams Conducted?
Manipal University conducts Online MCA examinations through a secure digital platform, ensuring transparency, academic integrity, and convenience for learners.
The evaluation process includes online proctored exams, coding tests, project submissions, and real-world AI/ML assignments.
AI-Based Remote Proctoring :
Exams are monitored using AI-enabled systems via webcam and microphone to prevent malpractice.
Secure Exam Browser :
Restricts external websites and ensures a fair assessment environment.
Time-Bound Online Exams :
All assessments have set durations, with automatic submission after expiry.
Dynamic Question Banks :
Students receive randomized question sets to ensure fairness.
Practical & Project-Based Assessment :
Assignments, coding labs, AI projects, and case studies form a core part of evaluation.
Virtual Presentations & Viva :
Students may present AI/ML projects or attend viva sessions online to demonstrate subject expertise.
Online MCA in Artificial Intelligence & Data Science Course Top Universitites
Best Online MCA in AI & Data Science Colleges & Universities in India
Aspiring to build a career in Artificial Intelligence, Data Science, and emerging technologies? Several reputed universities in India offer Online MCA in AI & Data Science programs, designed for graduates and working professionals.
The curriculum integrates advanced AI concepts, machine learning, big data analytics, cloud computing, and programming, ensuring learners gain both theoretical knowledge and practical industry exposure.
NOTE :
Admission procedures vary across universities. While many institutions offer direct admission based on eligibility, others may require entrance exams, personal interviews, or online skill assessments.
Entrance Exams for Online MCA in AI & Data Science Programs
Admission criteria for online MCA in AI & Data Science vary by university. Many institutions admit students directly based on academic performance, while select universities may conduct entrance exams or online technical assessments.
Common Entrance Assessments (If Applicable)
University-Specific Online Tests
Some universities may conduct their own aptitude tests or interviews to evaluate readiness for advanced AI & Data Science learning.
Skill-Based Evaluations
Candidates may be asked to demonstrate programming, statistics, or analytical skills through online coding tests or assessments.
These assessments typically evaluate logical reasoning, mathematics, programming fundamentals, and data interpretation skills.
Tips to Prepare for MCA in AI & Data Science Entrance Assessments (If Required)
If your chosen university requires an entrance test for admission, these strategies will help you prepare effectively:
Strengthen Mathematics and Statistics :
Revise linear algebra, probability, and statistics as they form the foundation of AI and machine learning.
Focus on Programming Skills :
Practice coding in Python, C, and Java, as these languages are widely used in AI and Data Science applications.
Revise Core Computer Science Fundamentals :
Review data structures, algorithms, databases, and operating system basics.
Practice Aptitude & Analytical Reasoning :
Solve problems on logical reasoning, data interpretation, and quantitative aptitude.
Attempt Mock Tests & Sample Papers :
Take practice tests to understand the exam format and improve time management.
Online MCA in Artificial Intelligence & Data Science Admission Process
Admission Process for Manipal University Online MCA (Artificial Intelligence & Data Science)
Admission to Manipal University’s Online MCA (AI & Data Science) follows a structured, step-by-step process for student convenience.
Applicants are encouraged to check the official university website for updated admission timelines and detailed requirements.
Research and Program Selection :
Explore the Online MCA in Artificial Intelligence & Data Science program offered by Manipal University. Review curriculum details, specialization modules, and career prospects in AI and Data Science.
Check Admission Requirements :
Ensure you meet the eligibility criteria, which typically requires a bachelor's degree in any discipline from a recognized university, with mathematics or statistics at 10+2 or undergraduate level.
Required Documents :
Prepare necessary documents such as academic transcripts, degree certificates, government-issued ID, and recent passport-size photographs.
Application Submission :
Complete the online application form on Manipal University’s official admission portal and upload the required documents as per the instructions.
Application Review and Admission Decision :
The admissions team will review your application. Eligible candidates will receive an admission offer via email or portal notification.
Acceptance and Enrollment :
After admission confirmation, follow the instructions in the offer letter, pay the semester fee, and complete the enrollment process.
Who Can Apply for Manipal University Online MCA (AI & Data Science)?
This MCA program is ideal for graduates who want to build advanced expertise in Artificial Intelligence, Data Science, and modern computing technologies.
Aspiring Data Scientists & AI Enthusiasts
Graduates with an interest in data analytics, artificial intelligence, and intelligent system development.
AI & Data Science Career Seekers
Individuals aiming for careers in AI engineering, data science, business intelligence, or advanced analytics.
Working Professionals
Working professionals seeking to upskill in AI, ML, and big data technologies through a flexible online program.
Future AI & Data Science Specialists
Students aspiring for roles such as Data Scientist, AI Engineer, Machine Learning Specialist, or Research Analyst.
Applicants should carefully check the detailed eligibility and admission requirements on the university’s official website before applying.
Is an Online MCA (AI & Data Science) from Manipal University Valid for Jobs?
Yes, the Online MCA in AI & Data Science from Manipal University is UGC-approved and widely accepted across industries.
The program offers a flexible learning approach, making it suitable for working professionals and graduates aspiring to build expertise in AI, machine learning, and data-driven technologies.
Online MCA in Artificial Intelligence & Data Science Career Scope
Graduates of the Online MCA in AI & Data Science from Manipal University gain advanced expertise in data analysis, machine learning, and AI-driven decision-making.
The program prepares students for careers in data science, predictive analytics, business intelligence, AI engineering, and research, offering high-demand roles and global career opportunities.
Top Recruiters Hiring Manipal University Online MCA in AI & Data Science Graduates
FAQ's | Frequently Asked Questions
Yes, Manipal University's Online MCA in AI & Data Science is UGC-approved and widely accepted by IT companies, analytics firms, startups, and research organizations.
Graduates can work as Data Scientists, AI Engineers, Machine Learning Specialists, Business Intelligence Analysts, NLP Engineers, and AI Project Managers across diverse industries.
Yes. The program is designed with flexible schedules, live and recorded lectures, interactive webinars, and project-based learning, making it ideal for working professionals.
Absolutely. The program integrates industry projects, coding labs, case studies, AI-based simulations, and workshops guided by experts in AI and data science.
The program is a 2-year postgraduate course divided into 4 semesters. Applicants must hold a bachelor's degree in any discipline with mathematics or statistics at 10+2 or undergraduate level.
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