Part-Time MBA in Data Science Syllabus - Amity University (AU), Noida

  • Years 2 Years
  • Type Course Post Graduate
  • stream Management
  • Delivery Mode
Written By universitykart team | Last updated date Jul, 07, 2024

The Part Time MBA in Data Science syllabus at Amity University (AU), Noida is designed to provide overall knowledge to the students with a strong foundation. Part Time MBA in Data Science faculty at Amity University (AU) specially focus on in-depth learning to relevant subjects. At first semester syllabus of Part Time MBA in Data Science at Amity University (AU), students learn the basics of programme. A strong foundation is very important for comprehensive learning. Part Time MBA in Data Science syllabus at Amity University (AU), Noida maintains a balance between theoretical knowledge and practical knowledge.

Part Time MBA in Data Science first year students at Amity University (AU) are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Amity University (AU), Noida also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Part Time MBA in Data Science syllabus at Amity University (AU), Noida is also frequently updated to give industry relevant training and knowledge to students. Amity University (AU) strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Amity University (AU) 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 Amity University (AU), Noida 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 Amity University (AU) 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 Amity University (AU) 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 Amity University (AU) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at Amity University (AU)

  1. Workshops and Seminars - Regular sessions with industry experts help Part Time MBA in Data Science students at Amity University (AU) to stay updated with current trends.
  2. Group Projects - Collaborative projects according to Amity University (AU) syllabus develop teamwork and problem-solving skills.
  3. Case Studies - Part Time MBA in Data Science syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
  4. Extracurricular Activities - Amity University (AU) offers several activities like sports, clubs, societies, etc. to encourage overall development.

Note: Given below syllabus is based on the available web sources. Please verify with the Amity University (AU), Noida for latest Part Time MBA in Data Science curriculum.

Part-Time MBA in Data Science Syllabus & Subjects

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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