Nitte Meenakshi Institute of Technology (NMIT) is a premier institute of higher education located in Bangalore, India. It offers a wide range of courses in the field of engineering, technology, management and data science. The institute has been consistently ranked among the top engineering colleges in India. NMIT's MBA in Data Science is a two-year full-time program that provides students with the necessary skills and knowledge to become successful data scientists. The program focuses on the fundamentals of data science, including data analysis, machine learning, data mining, and big data. It also covers topics such as data visualization, predictive analytics, and data engineering. The program is designed to equip students with the skills and knowledge required to develop and implement data-driven solutions for businesses. It also provides students with the opportunity to gain hands-on experience through internships and projects. The program is offered in two specializations: Business Analytics and Artificial Intelligence & Machine Learning. The curriculum includes courses such as Data Analysis, Machine Learning, Data Mining, Big Data, Data Visualization, Predictive Analytics, and Data Engineering. The program also offers a wide range of electives such as Natural Language Processing, Deep Learning, and Business Intelligence. The program also provides students with the opportunity to gain hands-on experience through internships and projects. NMIT's MBA in Data Science is a comprehensive program that provides students with the skills and knowledge required to become successful data scientists. It is an ideal program for those looking to pursue a career in data science or to gain a deeper understanding of the field.
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Course Duration | Course Level | Tuition Fees | Mode of Study | Institute Type
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2 Years | Postgraduate | INR 2.5 Lakhs | Online/Offline | Private Institute
| Semester | Syllabus | Package |
|---|---|---|
| 1st Semester | Organizational Behavior, Human Resource Management, Business Communication, Business Economics, Quantitative Techniques, Financial Accounting, Management Accounting, Business Law, Business Environment, Computer Applications in Business | MBA HRM |
| 2nd Semester | Marketing Management, Human Resource Development, Industrial Relations, Strategic Management, Management Information System, International Business, Operations Research, Research Methodology, Project Management, Entrepreneurship Development | MBA HRM |
| 3rd Semester | Organizational Change and Development, Compensation Management, Training and Development, Performance Management, Labour Laws, Labour Welfare, Industrial Psychology, Organizational Development, Knowledge Management, Leadership and Team Building | MBA HRM |
| 4th Semester | Organizational Design and Development, International Human Resource Management, Human Resource Planning, Recruitment and Selection, Employee Relations, Conflict Management, Human Resource Audit, Human Resource Accounting, Human Resource Analytics | MBA HRM |
Subjects Topics Data Science Fundamentals Data Science Overview, Data Science Process, Data Science Tools, Data Science Applications Data Mining Data Mining Techniques, Data Mining Algorithms, Data Mining Tools Data Visualization Data Visualization Techniques, Data Visualization Tools, Data Visualization Applications Data Warehousing Data Warehousing Concepts, Data Warehousing Architecture, Data Warehousing Tools Data Analysis Data Analysis Techniques, Data Analysis Algorithms, Data Analysis Tools Machine Learning Machine Learning Algorithms, Machine Learning Techniques, Machine Learning Tools Big Data Big Data Overview, Big Data Technologies, Big Data Applications Data Security Data Security Concepts, Data Security Techniques, Data Security Tools
