MBA in Data Science at MSRIM Bangalore - Fees, Syllabus, Admission, Seats 2024

Bangalore

Estd In: 1995

Last Updated on November 10, 2023 4:52 AM

m.s ramaiah institute of management offers a two-year mba in data science programme for students who are looking to pursue a career in the field of data science. the course is designed to provide students with the necessary knowledge and skills to become successful data scientists. the programme covers topics such as data mining, machine learning, artificial intelligence, and data visualization. it also provides students with the opportunity to gain hands-on experience in the field. the duration of the programme is two years and the fees for the course is inr 6,00,000. the institute also provides students with the option to avail of scholarships and other financial assistance. the m.s ramaiah institute of management mba in data science programme is a great opportunity for students to gain the necessary skills and knowledge to become successful data scientists.

Introduction
Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

MSRIM bangalore MBA in Data Science Highlights 2024

Course Duration	Course Level	Course Tuition Fees	Mode of Study	Institute Type
2 Years	Post Graduate	INR 8.4 Lakhs	Full Time	Private

MSRIM bangalore MBA in Data Science Syllabus 2024

Course	Description
Data Science Fundamentals	Introduction to data science, data mining, data visualization, data analysis, machine learning, and big data.
Data Management & Analytics	Data management, data warehousing, data integration, data analysis, data mining, and predictive analytics.
Business Intelligence & Decision Making	Business intelligence, decision making, and data-driven decision making.
Data Science & Business Applications	Data science applications in business, finance, marketing, and operations.
Data Science & Machine Learning	Data science and machine learning algorithms, techniques, and applications.
Data Science & Artificial Intelligence	Data science and artificial intelligence algorithms, techniques, and applications.
Data Science & Natural Language Processing	Data science and natural language processing algorithms, techniques, and applications.
Data Science & Visualization	Data science and visualization algorithms, techniques, and applications.

MSRIM bangalore MBA in Data Science Important Topics 2024

Semester	Important Topics
1st Semester	Data Science Fundamentals, Data Visualization, Database Management, Data Mining, Machine Learning
2nd Semester	Data Analysis, Big Data, Advanced Machine Learning, Natural Language Processing, Deep Learning
3rd Semester	Data Warehousing, Business Intelligence, Data Governance, Cloud Computing, Data Security
4th Semester	Data Science Project, Data Science Capstone Project, Data Science Internship

MSRIM Bangalore MBA Course FAQs

What is the duration of the M.S Ramaiah Institute of Management MBA in Data Science course?

The duration of the M.S Ramaiah Institute of Management MBA in Data Science course is two years.

What are the eligibility criteria for the M.S Ramaiah Institute of Management MBA in Data Science course?

The eligibility criteria for the M.S Ramaiah Institute of Management MBA in Data Science course is a Bachelor’s degree in any discipline with a minimum of 50% aggregate marks.

What is the fee structure for the M.S Ramaiah Institute of Management MBA in Data Science course?

The fee structure for the M.S Ramaiah Institute of Management MBA in Data Science course is Rs. 4,50,000/- for the entire course.

What are the specializations offered in the M.S Ramaiah Institute of Management MBA in Data Science course?

The specializations offered in the M.S Ramaiah Institute of Management MBA in Data Science course are Business Analytics, Machine Learning, and Artificial Intelligence.

What are the job opportunities after completing the M.S Ramaiah Institute of Management MBA in Data Science course?

The job opportunities after completing the M.S Ramaiah Institute of Management MBA in Data Science course are Data Scientist, Business Analyst, Machine Learning Engineer, and Artificial Intelligence Engineer.

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