Jain Online MBA in Data Science and Analytics

Jain University's Online MBA in Data Science and Analytics is a 2-year programme for graduates and working professionals. It has a UGC-entitled degree and an AICTE-approved MBA framework. It blends MBA basics with data mining, machine learning, big data, and predictive modelling. It also teaches SQL, Python, and visualisation. Graduates can pursue roles such as Data Scientist, Analytics Consultant, Business Intelligence Manager, and Product Analyst.

 Jain University requires a bachelor's degree (10+2+3) in any discipline with at least 50% marks. Working professionals and final-year students can apply, subject to documentation. Admission is based on merit. The university provides preparatory modules or bridge courses where required. The page lists no entrance exam and no relaxation for reserved categories.

 Jain University bases admission to this programme on merit. Applicants must meet the 50% marks rule and submit documents. Students who need extra preparation get bridge courses. The page gives no application steps, document list, or application fee. Confirm the full process with a counsellor.

 Jain University charges INR 1,50,000 per semester for this programme. The full course fee is INR 3,00,000, including all taxes. The page says fees may vary. It gives no payment schedule or due dates. Confirm the final amount and schedule with a counsellor.

 Jain University offers EMI plans for this programme. EMI starts at INR 12,500 per month. Terms and conditions apply. The full course fee is INR 3,00,000. The page lists no tenure, interest rate, or bank partners. It also mentions scholarships. Confirm these details with a counsellor.

 Jain University describes this programme as a 2-year MBA. The syllabus lists six semesters with five courses each. Semesters 1 and 2 cover MBA basics, data science foundations, and Python. Semester 3 covers machine learning, big data, and visualisation. Semester 4 covers forecasting, optimisation, and data engineering. Semester 5 covers deep learning, AI, and risk analytics. Semester 6 has leadership, a capstone, an internship, and an elective. The fee box says "Total 2 semester." Confirm the semester count with a counsellor.

 Jain University covers Business Statistics & Probability, Foundations of Data Science, Machine Learning & Predictive Modelling, Big Data Technologies & Cloud Analytics, Text & Sentiment Analytics, Time-Series & Forecasting, and Optimization & Prescriptive Analytics. It also covers Data Engineering & Pipelines, Deep Learning Basics, AI for Business Decisions, and Ethics, Privacy & Governance. Business analytics courses include Marketing Management & Customer Analytics, Corporate Finance & Risk Analytics, Operations Management & Process Analytics, Supply Chain & Operations Analytics, Fraud & Risk Analytics, Advanced Customer Analytics, and People Analytics. Business Research Methods and Analytics Strategy & Leadership are also included.

 Jain University teaches Python, SQL, Tableau, and Power BI in this programme. Students practise Hadoop, Spark, and scalable data pipelines. They build regression, classification, and clustering models. They also use A/B testing and uplift modelling. Programming for Analytics (Python) and Data Visualisation & Storytelling are named courses. The page also mentions MLOps fundamentals.

 Jain University includes a Capstone Project and an Industry Internship / Live Project in Semester 6. Students work on live datasets and industry-mentored projects. The programme also lists a Seminar & Publication course. Case studies and real projects build a portfolio. Students interact with peers, alumni, and industry guests through online events and forums. The page names no internship partners or project topics.

 Jain University delivers this programme in a fully online, flexible format. Students join live classes or watch recorded classes. The programme includes doubt-clearing and mentorship support. Assessments include quizzes, case studies, proctored exams, and a capstone project. Career support includes mentorship, interview prep, and placement assistance. Bridge courses help students who need extra preparation. The page names no learning materials and gives no exam dates or grading weights.