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Manipal Online University

Online MCA in AI & Data Science from Manipal University

The Online MCA in Artificial Intelligence & Data Science from Manipal University is a cutting-edge postgraduate program designed to prepare...

Online MCA in AI & Data Science from Manipal University

The Online MCA in Artificial Intelligence & Data Science from Manipal University is a cutting-edge postgraduate program designed to prepare students for the rapidly evolving technology landscape where AI and data-driven decision-making are central to business and research. The curriculum blends specialized instruction in artificial intelligence, machine learning, deep learning, natural language processing, and big data analytics with the fundamentals of computer applications. Professionals with expertise in AI and data science are in great demand as businesses in all sectors depend more and more on AI-powered tools and data insights to inform strategy, boost productivity, and provide customized solutions. This curriculum gives students the technical know-how and critical thinking skills they need to create intelligent systems, draw useful conclusions from large, complicated datasets, and support cross-sector innovation. The Online MCA in AI & Data Science program’s curriculum is designed to provide a solid foundation in computer science principles, software development, and programming throughout the first few semesters before progressively moving on to AI, machine learning methods, data mining, and statistical modeling. Additionally, learners encounter specialist subjects including cloud-based AI solutions, reinforcement learning, neural networks, and AI-driven automation. In order to give students practical exposure with well-known tools and platforms including Python, R, TensorFlow, PyTorch, Hadoop, Spark, and cloud-based AI services, the curriculum incorporates project work, case studies, and practical lab sessions. Graduates can close the gap between academic knowledge and practical applications thanks to this combination of theory and practice.

The Online MCA in AI & Data Science is designed for flexibility, making it ideal for working professionals, fresh graduates, and those seeking to upskill or shift careers into the AI and data science domains. By leveraging the online mode, students can access lectures, learning materials, and virtual labs at their convenience while still engaging with faculty and peers through interactive sessions. The program also emphasizes problem-solving, analytical reasoning, and ethical considerations in AI applications, preparing learners to develop AI systems responsibly and effectively. AI Engineer, Machine Learning Specialist, Data Scientist, Business Intelligence Analyst, Data Analyst, Deep Learning Engineer, NLP Engineer, and AI Consultant are just a few of the many employment options available to graduates of this school. Professionals with experience in AI and data science are in high demand across a variety of industries, including IT services, banking, healthcare, e-commerce, retail, and research institutions. The curriculum serves as a springboard for both academic and professional development since it also equips students to pursue advanced research or certifications.

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Key Program of Online MCA in AI & Data Science from Manipal University

The Online MCA in Artificial Intelligence & Data Science from Manipal University is carefully designed to provide a comprehensive blend of foundational computer science knowledge, advanced AI techniques, and practical data science skills. With businesses and research organizations increasingly relying on AI-driven solutions and data analytics, the program focuses on equipping learners with the technical expertise, analytical mindset, and problem-solving abilities needed to thrive in this high-demand field.

1
Comprehensive Curriculum Covering AI and Data Science: The program combines core computer science concepts with advanced AI and data science topics such as machine learning, deep learning, natural language processing, data mining, and big data analytics. This ensures learners gain both theoretical knowledge and practical insights necessary to develop intelligent systems and analyze complex datasets.
2
Hands-On Training with Industry Tools: Students gain practical experience using popular tools and platforms like Python, R, TensorFlow, PyTorch, Hadoop, Spark, and cloud-based AI services. This hands-on exposure enables learners to work on real-world AI and data-driven projects, enhancing their employability in industry roles.
3
Expert Faculty and Industry Mentorship: The program is taught by experienced faculty and industry professionals who bring both academic expertise and practical insights. Guest lectures, case studies, and mentorship opportunities ensure students understand the real-world applications of AI and data science.
4
Focus on Machine Learning, Deep Learning, and NLP: Learners develop expertise in machine learning algorithms, deep learning models, and natural language processing techniques. This specialization allows students to work on advanced AI projects such as predictive modeling, recommendation systems, speech recognition, and computer vision applications.

Course Curriculum of Online MCA in AI & Data Science from Manipal University

The curriculum progresses systematically, starting with core programming and database management concepts and advancing to specialized AI, machine learning, deep learning, and big data topics. Each semester is designed to ensure that learners develop both theoretical knowledge and practical skills required for real-world applications in AI and data analytics.

Semester 1
  • Programming Fundamentals (C/Python)
  • Computer Organization & Architecture
  • Database Management Systems
  • Operating Systems
  • Computer Networks
  • Practical Labs (Programming, DBMS, OS)
Semester 2
  • Data Structures & Algorithms
  • Object-Oriented Programming and Java
  • Web Technologies
  • Advanced Database Systems
  • Information Security Fundamentals
  • Practical Labs (Data Structures, Java, Web Technologies)
Semester 3
  • Introduction to Artificial Intelligence
  • Machine Learning and Statistical Modeling
  • Big Data Analytics (Hadoop, Spark)
  • Natural Language Processing
  • Elective I (Computer Vision / Reinforcement Learning / Cloud-based AI)
  • Practical Labs (ML Tools, NLP, Big Data Platforms)
Semester 4
  • Deep Learning and Neural Networks
  • AI in Business Analytics / Predictive Modeling
  • Cloud Computing for AI Applications
  • Elective II (IoT Analytics / Advanced NLP / AI in Healthcare)
  • Capstone Project / Dissertation in AI & Data Science
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Learning Outcomes of Online MCA in AI & Data Science from Manipal University

By the end of the program, students are expected to not only understand the theoretical foundations of AI and data analytics but also to apply this knowledge in designing intelligent systems, extracting meaningful insights from complex datasets, and deploying scalable AI solutions in real-world business and research environments. The program emphasizes hands-on experience, ethical AI practices, and industry-relevant tools to ensure that learners are career-ready and capable of driving innovation across sectors.

1
Graduates will understand the fundamental concepts of artificial intelligence, machine learning, deep learning, and data science, enabling them to analyze complex problems and design intelligent solutions.
2
Students will develop expertise in programming languages such as Python, R, and Java, and gain practical experience with AI and data analytics platforms like TensorFlow, PyTorch, Hadoop, and Spark for solving real-world challenges.
3
Learners will be skilled in designing, implementing, and optimizing machine learning models, neural networks, and deep learning algorithms for tasks including predictive analytics, computer vision, and natural language processing.
4
Graduates will be able to work with large-scale datasets, perform data preprocessing, and deploy AI solutions on cloud environments, ensuring scalable and efficient implementation of data-driven applications.

Eligibility Criteria for Online MCA in AI & Data Science from Manipal University

  • iconBachelor’s degree in Computer Applications (BCA), Computer Science, Information Technology, or a related field from a recognized university.
  • iconGraduates from other disciplines may also apply if they studied Mathematics at the 10+2 level or during their undergraduate program.
  • iconMinimum 50% aggregate marks in the qualifying degree (45% for reserved categories).

Online MCA in AI & Data Science from Manipal University

Explorе thе transparеnt and detailed fee structurе of thе Online MCA in AI & Data Science from Manipal University, providing clarity on tuition and associatеd costs for prospеctivе studеnts.

Semesters

Fees

Semester 1

39,500

Semester 2

39,500

Semester 3

39,500

Semester 4

39,500

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Career Opportunities after Online MCA in AI & Data Science from Manipal University

As organizations increasingly rely on artificial intelligence, machine learning, and data-driven insights to optimize operations, enhance customer experiences, and make strategic decisions, professionals with specialized knowledge in AI and data science are in tremendous demand. This program ensures that learners are proficient in designing intelligent systems, analyzing large-scale datasets, and deploying scalable AI solutions, positioning them for rewarding roles across industries such as IT, finance, healthcare, e-commerce, research, and consulting.

IconAI Engineer
IconData Scientist
IconMachine Learning Engineer
IconDeep Learning Specialist
IconNatural Language Processing (NLP) Engineer
IconBusiness Intelligence (BI) Analyst
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Top Hiring Companies

As companies increasingly rely on data-driven decision-making and AI-powered solutions, professionals who can design intelligent systems, analyze complex datasets, and implement scalable AI applications are in high demand. Graduates of this program are equipped with both theoretical knowledge and practical experience using industry-standard tools and platforms, making them attractive candidates for top IT firms, technology consultancies, financial institutions, healthcare organizations, and research-driven companies worldwide.

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Q&A

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Frequently Asked Questions

How is the program delivered?Icon
The program is delivered entirely online, combining live lectures, recorded sessions, interactive discussions, and virtual labs. Students gain practical exposure through hands-on exercises, projects, and case studies using industry-standard tools like Python, R, TensorFlow, PyTorch, Hadoop, and Spark. This flexible learning model allows professionals to balance work and study while acquiring high-demand AI and data science skills.
What skills will I gain from this program?Icon
Graduates develop expertise in machine learning, deep learning, neural networks, natural language processing, predictive analytics, big data analytics, and cloud-based AI solutions. They also gain programming proficiency, analytical thinking, problem-solving abilities, and experience working on real-world datasets. Additionally, the program emphasizes ethical AI practices and responsible data handling, ensuring students can develop solutions aligned with industry standards and compliance requirements.
Can working professionals pursue this program?Icon
Absolutely. The online format allows working professionals to gain advanced AI and data science skills without interrupting their careers. With access to recorded lectures, virtual labs, and interactive sessions, professionals can study at their own pace while acquiring industry-relevant expertise.
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