JAIN Online Introduces 2-Year MCA Program in Data Science with Advanced Programming Skills

The two-year MCA programme with train students in modern tools and cover data visualisation tools such as Tableau and SQL for ETL processes and advanced programming skills in Python. 

JAIN Online, the e-learning part of JAIN (Deemed-to-be-University) is inviting admission to a two-year Master of Computer Applications program in Data Science. The programme aims to prepare students to take an active role in the rapidly changing data domain. The curriculum will give students advanced technical skills and practical expertise with data-driven technologies and it has been constructed to comply with industry demands.

Application of JAIN Online MCA Programme

Students will receive education about current data-related methods and equipment over the two-year curriculum of the MCA programme. For ETL techniques, it will prevail over data visualization tools like Tableau and SQL. Students will learn advanced Python programming skill sets, such as using Matplotlib, NumPy, SciPy, and Scikit-Learn.

In order to improve conceptual comprehension, the program additionally includes hands-on lab work and the incorporation of data science models into computer systems.

Dr. Raj Singh, Vice-Chancellor of JAIN (Deemed-to-be-University), expressed his delight saying “An MCA in Data Science enhances employability by 40-60%, with the field contributing 3-5% year-on-year growth in IT-related job opportunities. Currently, the industry has between 70,000 and 100,000 openings for MCA-qualified professionals. This program will empower learners with the technical and analytical skills needed to excel in data science. Learners will be prepared to take on important roles in the global technology field through industry-aligned training and practical experience."

Career Prospects of MCA Programme

The following career prospects will be available for the students completing the MCA programme: 

• Chief Data Officer
• Research Scientist
• Cloud Data Architect
• Artificial Intelligence Specialist
• Business Intelligence Developer
• Machine Learning Engineer
• Data Scientist.

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