The Part Time MBA in Data Science syllabus at T.A. Pai Management Institute, Manipal is designed to provide overall knowledge to the students with a strong foundation. Part Time MBA in Data Science faculty at T.A. Pai Management Institute specially focus on in-depth learning to relevant subjects. At first semester syllabus of Part Time MBA in Data Science at T.A. Pai Management Institute, students learn the basics of programme. A strong foundation is very important for comprehensive learning. Part Time MBA in Data Science syllabus at T.A. Pai Management Institute, Manipal maintains a balance between theoretical knowledge and practical knowledge.
Part Time MBA in Data Science first year students at T.A. Pai Management Institute are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. T.A. Pai Management Institute, Manipal also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Part Time MBA in Data Science syllabus at T.A. Pai Management Institute, Manipal is also frequently updated to give industry relevant training and knowledge to students. T.A. Pai Management Institute strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at T.A. Pai Management Institute enable Part Time MBA in Data Science students to apply knowledge and skills in a controlled environment and get required experience.
According to syllabus of Part Time MBA in Data Science progress, students learn advanced topics and complex concepts. The Part Time MBA in Data Science curriculum at T.A. Pai Management Institute, Manipal mainly focuses on analytical and critical thinking. As the Part Time MBA in Data Science course unfolds, students develop several important skills that increases their employability. As per syllabus of Part Time MBA in Data Science at T.A. Pai Management Institute also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.
Part Time MBA in Data Science curriculum at T.A. Pai Management Institute includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Part Time MBA in Data Science syllabus at T.A. Pai Management Institute aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.
Additional curriculum at T.A. Pai Management Institute
Note: Given below syllabus is based on the available web sources. Please verify with the T.A. Pai Management Institute, Manipal for latest Part Time MBA in Data Science curriculum.
A Part-Time MBA in Data Science program offers a comprehensive curriculum designed to equip students with the skills and knowledge needed to excel in the field of data science and analytics. The syllabus typically covers a wide range of subjects, including foundational courses in mathematics, statistics, and programming to build a strong analytical foundation. As the program advances, students delve into more specialized areas such as machine learning, data visualization, and big data technologies. Ethics in data science, data-driven decision-making, and business intelligence are also integral components of the curriculum. Through a combination of coursework, practical projects, and case studies, students gain hands-on experience and develop the expertise required to address complex data-related challenges across various industries. This Part-Time MBA program prepares graduates for rewarding careers in data science, analytics, and business intelligence.
The table
below lists some of the subject details for the Part-Time MBA with a Data Science Specialization:
Semesters | Subjects |
Semester I | Managerial Economics |
Statistics for Management | |
Professional Communication | |
Accounting for Managers | |
Semester II | Legal Aspects of Business |
Business Research Methods | |
Financial Management | |
Data Science Foundations | |
Semester III | Strategic Management |
Minor Project | |
Professional Ethics | |
Data Mining and Machine Learning | |
Semester IV | Management in Action |
Social, Economic, and Ethical Issues | |
Advanced-Data Science | |
Major Project | |
Elective Subjects | Web and Social Media Analytics |
Finance and Risk Analytics | |
Healthcare Analytics | |
Deep Learning | |
HR Analytics |
Part-Time MBA in Data Science Projects
Let's look at
some of the most creative Part-Time MBA in Data Science project ideas that are
suitable for both experts and newcomers:
(i). Customer
segmentation: For this project, data would be used to divide customers into
various categories according to their demographics, interests, and purchasing
patterns. Then, more successful marketing initiatives might be targeted using
this data.
(ii). Fraud
Detection: For this project, fraudulent transactions would be found utilizing
data. This could be achieved by searching for trends in the data that point to
fraud, such as atypical purchasing habits or international transactions.
(iii). Product
Recommendation: For this project, clients would be given product
recommendations based on data. This could be accomplished by investigating past
client purchases, product evaluations, and other elements.
(iv). Demand
Prediction: In this project, the demand for goods or services would be
predicted using data. The inventory and staffing levels might then be optimized
using this information.
(v). Data will be used in this project's risk assessment to determine the likelihood that specific occurrences will occur. Looking at historical data, financial data, and other elements could help with this.
Reference Books for Part-Time MBA in Data Science
Part-Time MBA in Data Science books provide students with a thorough
general review of the subject matter and a close examination of their specific
area of expertise. The following are some of the books for reference:
Name of Author | Name of Book |
Rajesh Jugulum and Robert W. Eames | Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing, and Presenting Data |
Dhananjoy Chatterjee | Business Analytics: Methods, Models, and Decisions |
Satish Kumar R. | Business Analytics: The Science of Data-Driven Decision Making |
Sandeep Kumar | Data Science: A Comprehensive Guide for Beginners |
Tirthajyoti Sarkar and Shubhadeep Roychowdhury | Data Science Using Python and R |
Naresh Kumar Mehta | Data Science and Analytics: Concepts, Techniques, and Applications |
R. N. Prasad | Data Analytics: A Hands-On Approach |
Arpan Shah | Data Science for Business: Applications, Techniques, and Tools |
Goutam Chakraborty and M. R. Rao | Business Analytics: Applications to Consumer Marketing |
A. K. Sharma | Data Science and Big Data Analytics: An Applied Guide for Business and Industry |
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