Business Analytics is a combination of Data Analytics, Business Intelligence and Computer Programming. It is the science of analysing data to find out patterns that will be helpful in developing strategies. Its usage can be found in almost every industry. Business analytics is a field that drives practical, data-driven changes in a business. It is a practical application of statistical analysis that focuses on providing actionable recommendations. Analysts in this field focus on how to apply the insights they derive from data. Their goal is to draw concrete conclusions about a business by answering specific questions about why things happened, what will happen and what should be done.
With MBA in Business Analytics, one learns to identify user trends, successful functions, and potential user adoption problems with the applications. As data becomes more valuable to organizations, so do business analysts.
CURRICULUM:
At DPUCOL, the best online MBA in Business Analytics , the curriculum is specifically designed to meet the requirements of this cutting edge corporate world. It incorporates Budgeting and forecasting, Planning and monitoring, Variance analysis, Pricing, Reporting are some key skills that an BA should have hands-on experience in.
It is evident that this 2-year curriculum covers all the important disciplines in the field of Business Analytics. In spite of the fact that one will pursue this MBA course at its own place through online learning, it will always get excellent learning and career guidance support from our professors and experts. DPU COL always endeavors to bestow true and appropriate knowledge upon its students so that they can be the future leaders and future-ready for their tasks.
CAREER:
Management Consulting
Growth Manager
Business consultant
Leadership Roles in Business Analytics, Sales, HR, Marketing & Finance
Growth & Strategy roles
Course Code
Course Title
OMBBA301
Business Analytics-I
OMBBA302
Business Analytics-II
OMBBA303
DBMS
OMBBA304
Business Statistics and Econometrics
OMBBA305
Performing Analytics with Python.
OMBBA306
R programming for Data analysis and Visualization
OMBE 307/308
Generic Elective-I
Note: For Generic Elective-I course (Course code- (OMBE 307/308)); students can select any one of the following courses
OMBE 307
Digital Marketing
OMBE 308
Business English
OMBBA401
Business Mathematics & Optimization Techniques
OMBBA402
Python Programming for data visualization
OMBE 403/404
Generic Elective-II
OMBP 405
Project Work Report
Note: For Generic Elective-II course (Course code-()); students can select any one of the following courses.
OMBE 403
Soft Skill
OMBE 404
Business Ethics and Corporate Governance