Online MBA in Business Analytics Course at University of Petroleum and Energy Studies Online, Dehradun Syllabus & Subjects Semester Wise

The Online MBA in Business Analytics syllabus at University of Petroleum and Energy Studies Online, Dehradun is designed to provide overall knowledge to the students with a strong foundation. Online MBA in Business Analytics faculty at University of Petroleum and Energy Studies Online specially focus on in-depth learning to relevant subjects. At first semester syllabus of Online MBA in Business Analytics at University of Petroleum and Energy Studies Online, students learn the basics of programme. A strong foundation is very important for comprehensive learning. Online MBA in Business Analytics syllabus at University of Petroleum and Energy Studies Online, Dehradun maintains a balance between theoretical knowledge and practical knowledge.

Online MBA in Business Analytics first year students at University of Petroleum and Energy Studies Online are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. University of Petroleum and Energy Studies Online, Dehradun also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Online MBA in Business Analytics syllabus at University of Petroleum and Energy Studies Online, Dehradun is also frequently updated to give industry relevant training and knowledge to students. University of Petroleum and Energy Studies Online strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at University of Petroleum and Energy Studies Online enable Online MBA in Business Analytics students to apply knowledge and skills in a controlled environment and get required experience.

According to syllabus of Online MBA in Business Analytics progress, students learn advanced topics and complex concepts. The Online MBA in Business Analytics curriculum at University of Petroleum and Energy Studies Online, Dehradun mainly focuses on analytical and critical thinking. As the Online MBA in Business Analytics course unfolds, students develop several important skills that increases their employability. As per syllabus of Online MBA in Business Analytics at University of Petroleum and Energy Studies Online also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.

Online MBA in Business Analytics curriculum at University of Petroleum and Energy Studies Online includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Online MBA in Business Analytics syllabus at University of Petroleum and Energy Studies Online aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at University of Petroleum and Energy Studies Online

Workshops and Seminars - Regular sessions with industry experts help Online MBA in Business Analytics students at University of Petroleum and Energy Studies Online to stay updated with current trends.
Group Projects - Collaborative projects according to University of Petroleum and Energy Studies Online syllabus develop teamwork and problem-solving skills.
Case Studies - Online MBA in Business Analytics syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
Extracurricular Activities - University of Petroleum and Energy Studies Online 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 University of Petroleum and Energy Studies Online, Dehradun for latest Online MBA in Business Analytics curriculum.

Syllabus and Subjects of Online MBA in Business Analytics Course

The syllabus for an Online MBA in Business Analytics is carefully crafted to provide students with a comprehensive understanding of business analytics concepts and applications. Core courses typically cover areas such as data analysis, statistical modelling, data visualization, and business intelligence. Elective courses enable students to specialize in areas like predictive analytics, data mining, and marketing analytics. The syllabus incorporates practical projects, case studies, and real-world scenarios to ensure that students can apply their learning in business contexts. Graduates emerge with a solid foundation in business analytics, making them well-prepared for analytical roles in diverse industries.

Semester	Subjects
Semester 1	Business Communication
	Managerial Economics
	Financial Accounting and Analysis
	Marketing Management
	Business Statistics and Analytics
	Operations Management
	Data Visualization
	Data Warehousing and Data Mining
	Business Ethics and Corporate Social Responsibility
	Business Analytics Capstone Project
Semester 2	Managerial Finance
	Human Resource Management
	Strategic Management
	Business Research Methods
	Predictive Modeling and Forecasting
	Machine Learning and Artificial Intelligence
	Data-driven Decision Making
	Data Analytics for Marketing and Sales
	Operations Research
	Business Analytics Capstone Project II
Semester 3	Big Data Analytics
	Business Process Management
	Advanced Analytics Techniques
	Risk Analytics and Management
	Supply Chain Analytics
	Text Analytics and Natural Language Processing
	Customer Relationship Management
	Data Governance and Privacy
	Business Analytics in Practice
	Business Analytics Capstone Project III
Semester 4	Elective Courses (based on specialization or area of interest)
	Dissertation/Thesis
	Internship/Industry Project

Projects for Online MBA in Business Analytics

(1). Predictive Modeling: Develop a predictive model using statistical techniques to forecast future outcomes or trends based on historical data.

(2). Market Segmentation Analysis: Conduct a market segmentation analysis to identify distinct customer segments and develop targeted marketing strategies.

(3). Customer Churn Analysis: Analyze customer data to identify factors that contribute to customer churn and develop retention strategies.

(4). Pricing Optimization: Use data analysis and optimization techniques to determine optimal pricing strategies for products or services.

(5). Supply Chain Optimization: Analyze supply chain data to identify bottlenecks, optimize inventory levels, and improve overall supply chain efficiency.

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