MCA in Data Science and Analytics
A two-year postgraduate program designed to develop expertise in big data, AI, and advanced analytics. It prepares students for careers in data engineering, AI development, and business intelligence.
Associate Partner – HVET
Course Highlights
Industry-Focused Curriculum
Internship linked to Job
Big Data & Cloud Technologies
Hands-on Learning
Certification from Intel & Nasscom
Expert Faculty & Mentorship
Data Analytics & Visualization
NEP & SDG Aligned
Placement & Career Support
Tools Covered
Introduction
- Master of Computer Applications (MCA) in Data Science & Analytics is a future-focused program designed for students aiming to build expertise in advanced computational techniques, artificial intelligence, and big data analytics. This professional degree bridges the gap between traditional IT and modern data-driven decisionmaking, making it an ideal choice for those passionate about technology and analytics.
- This course provides a strong technical foundation while integrating real-world applications, enabling students to work on machine learning models, data visualization, and AI-powered solutions. The industry-aligned curriculum ensures that graduates are well-equipped for high-paying careers in data science, AI, and business intelligence.
- With the demand for data professionals growing exponentially, this MCA specialization offers exceptional career prospects. Compared to general IT courses, it provides in-depth expertise in data handling, predictive analytics, and cloud-based technologies, ensuring students remain ahead in the digital revolution.
Eligibility
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 levelObtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.(for students having no Mathematics background has to undergo a compulsory bridge course on Mathematics & related Computer Subject framed by SSU)
Duration
2 Years Full-Time (4 Semesters)
Tuition Fees
Rs. 70000 /- Per Semester
*Fees such as Admission, Caution Money, Examination, Hostel, and Transport fees are extra
Program Details
MCA in Data Science & Analytics is a 2-year postgraduate degree program that offers a deep understanding of advanced computing, statistical modeling, and AI-driven solutions.
The course allows students to specialize in key areas such as machine learning, deep learning, big data processing, cloud computing, and business intelligence.
Disciplined Approach – The program maintains a structured academic framework, with regular communication on attendance, performance tracking, and student progress reports shared with parents/guardians.
Qualitative Approach – The curriculum is highly interactive, featuring live industry projects, hackathons, case studies, and guest lectures by industry leaders. A strong emphasis is placed on research-driven learning and problem-solving to prepare students for leadership roles in tech and analytics.
Program Outcome
Mastering Advanced Data Science Techniques
Gain expertise in data analytics, machine learning, and artificial intelligence to tackle industry challenges.
Developing High-Level Computational Skills
Build proficiency in Python, R, SQL, cloud computing, and big data frameworks to manage and analyze complex datasets.
Encouraging Leadership & Strategic Thinking
Foster decision-making and problem-solving skills to lead AI-driven projects and data-driven organizations.
Implementing Ethical AI & Data Governance
Understand the importance of responsible AI, data privacy, and cybersecurity in a technology-driven world.
Developing Entrepreneurial & Research Capabilities
Learn to apply data science for business intelligence, product innovation, and startup ventures.
Serving Society Through Data-Driven Solutions
Use data analytics and AI to address real-world issues in healthcare, finance, and sustainability.
Application of Emerging Technologies
Leverage deep learning, automation, and cloud computing to drive efficiency and innovation in various industries.
Course at a Glance
Core Subjects: Adv. DSA, DBMS & NoSQL, Big Data, ML & Deep Learning, Cloud & DevOps, AI Analytics, NLP, Cybersecurity, Data Viz, IoT & Edge Computing.
Specialized Areas: AI in Enterprises, Financial Analytics, Blockchain, Web Analytics, Quantum Computing & AI Ethics
Skill Training: Tech Internships, Capstone Projects, Hackathons, Research & Publications, Industry Certifications.
Outcome: Expertise in AI, Big Data, and advanced analytics for cutting-edge industry roles.