Post Graduate Program · K L University
Online MCA in Data Science
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With its distinctive and specialized curriculum, KL University's Online MCA in Data Science program equips students with advanced data science expertise and positions them for high-demand positions in the industry. By combining academic rigor with real-world application, this program makes sure that students acquire the knowledge and expertise needed to thrive in the quickly changing field of data science.
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Course curriculum of Online MCA in Data Science
Gain from a course curriculum carefully designed for success, blending cutting-edge theory, practical application and real-world insights.
| Semester First | Semester Second | Semester Third | Semester Forth | Semester Fifth |
|---|---|---|---|---|
| Programming in C | Data Structures and Algorithms | Introduction to Data Science | Deep Learning and Neural Networks | Advanced Machine Learning Models |
| Database Management Systems | Object-Oriented Programming using Java | Python for Data Analysis | Natural Language Processing (NLP) | Time Series Analysis |
| Discrete Mathematics | Operating Systems | Data Warehousing and Data Mining | Big Data Analytics (using Hadoop/Spark) | Artificial Intelligence for Business Applications |
| Computer Organization and Architecture | Web Technologies | Machine Learning Foundations | Data Visualization Tools (Tableau/Power BI) | Capstone Project Planning and Proposal |
| Software Engineering Principles | Mathematics for Computer Science | Advanced Database Systems | Cloud Computing for Data Science | Industry Case Studies in Data Science |
| Communication Skills and Professional Ethics | Lab Work: Java Programming & Web Development Lab | Lab Work: Python for Data Science & ML Lab | Lab Work: Deep Learning & Visualization Tools Lab | |
| Lab Work: C Programming & DBMS Lab |
Learning outcomes of Online MCA in Data Science
Upon successful completion of the Online MCA in Data Science, you can expect to achieve the following learning outcomes:
Along with gaining specialized skills in data science, such as machine learning, data mining, and deep learning, students will also have a firm grasp of basic computer science concepts including algorithms, data structures, databases, and operating systems. They will be able to use this dual foundation to create effective software systems and tackle challenging computational issues.
In addition to learning how to employ statistical models for data interpretation and insight development, graduates will gain proficiency in programming languages such as Python, R, and Java. They will learn how to use contemporary tools to gather, clean, process, and analyze vast amounts of data so they may create precise and perceptive data models for use in research and business.
Students will have practical experience with industry-relevant platforms and frameworks through interactive laboratories, projects, and the use of tools like Hadoop, Spark, Tableau, Power BI, TensorFlow, and Scikit-learn in the classroom. They will discover how to use these tools in fields like artificial intelligence, visualization, big data analytics, and predictive modeling.
Students will gain knowledge on how to use data-driven decision-making strategies to tackle real-world issues. They will be able to create complete data science solutions, applying ethical and strategic concerns at every stage, from problem formulation and data collection to analysis and visualization.
Eligibility for Online MCA in Data Science
- A Bachelor's degree in Computer Science, Information Technology, or a related discipline from a recognized university. A minimum aggregate score of 50% in the qualifying examination is required. Applicants should have studied Mathematics either at the Senior Secondary (12th grade) level or during their Bachelor's degree.
- A student with foreign education must have completed graduation or an equivalent qualification from a recognized university or institution, with a certificate of equivalence from the Association of Indian Universities.
Fee structure of Online MCA in Data Science
Fees are payable per semester. Most programs offer no-cost and low-cost EMI options — talk to a counselor for the exact fee structure and any scholarships available to you.
| Semesters | Fees |
|---|---|
| Semester 1 | ₹15 K |
| Semester 2 | ₹15 K |
| Semester 3 | ₹15 K |
| Semester 4 | ₹15 K |
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No Cost EMI
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Career opportunities after Online MCA in Data Science
Lucrative career designations await you after completing this program. Some of the roles include: