DETAILS

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Duration of Program 3 Years (6 Semesters)

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Seats 40

The program focuses on developing a particular skill-set to investigate a business’ performance in order to gain valuable insight and carry out business planning. In today’s interconnected world, there is an overwhelming amount of data everywhere. In fact, more than 2.5 quintillion bytes of data is generated each day. The program will give students knowledge of how to take decisions based on data and statistical methods.

DETAILS

Semester I Semester II

Subject

  • Introduction to Management & Leadership
  • Micro Economics
  • Business Mathematics
  • Business Accounting
  • Business Computing
  • Business Communication I

Subject

  • Organization Behavior
  • Macro Economics
  • Business Statistics
  • Financial Management
  • Spreadsheets in Business
  • Business Communication II
  • Marketing Management
Semester III Semester IV

Subject

  • Human Resource Management
  • Research Methodology
  • Marketing for the Digital Economy
  • Operation Management
  • Venture Ideation
  • Data Environment
  • Executive Communication
  • Open Elective I

Subject

  • Introduction to Business Analytics
  • Advanced Statistics
  • Corporate Laws
  • Cost & Management Accounting
  • Design Thinking
  • Data Management
  • Program Elective I
  • Open Elective II
  • Industrial Visit
Semester V Semester VI

Subject

  • Business Policy & Strategy
  • Business Intelligence
  • Data Visualization
  • Data Preparation
  • Programming for Analytics
  • Program Elective II
  • Summer Internship
  • Dissertation I

Subject

  • Environmental Studies
  • Applications of Analytics
  • Big Data Analytics and Mining
  • Program Elective III
  • Dissertation II
Program Electives I Program Electives II

Subject

  • Business Process Management
  • Web Analytics
  • Text Mining

Subject

  • Artificial Intelligence
  • Predictive Modelling
  • Marketing Analytics

Open Electives I

Open Electives II

  • Physical Fitness & Wellness
  • Personal Selling
  • Introduction to Psychology
  • Introduction to Sociology
  • Creativity, Innovation & Foresight
  • Money & the Firm
  • Introduction to Philosophy
  • Mercantile Law
  • Corporate Social Responsibility
  • Competitive Intelligence
  • Leading in a Dynamic Era 
  • Managing the Globally Diverse Firm

Click here to view Open Elective Subject list

BBA (Analytics and Big Data)

  • Program Lead, Analytics Consulting
  • Senior Executive, Data
  • Data Scientist
  • Senior Insight Analyst
  • Lead Experience Manager
  • Customer Success Analyst

BBA (Analytics and Big Data) - Programming for Analytics

  • Placement in IT firms and telecommunication industries
  • Market research analyst in Retail sector
  • Data scientist/market research analyst in Manufacturing units
  • Data scientist/market research analyst in E-commerce firms
  • Data scientist in Business Intelligence organizations
  • Academic associate roles in IIMs and other B-schools

BBA (Analytics and Big Data) - Big Data Analytics and Mining

  • Placement in IT firms and telecommunication industries
  • Market research analyst in Retail sector
  • Data scientist/market research analyst in Manufacturing units
  • Data scientist/market research analyst in E-commerce firms
  • Data scientist in Business Intelligence organizations
  • Academic associate roles in IIMs and other B-schools
 

Semester

Tuition Fee (Rs.)

Academic Service Fee (Rs.)

Total (Rs.)

I

97,500

32,250

129,750

II

97,500

32,250

129,750

III

105,250

34,750

140,000

IV

105,250

34,750

140,000

V

113,500

37,500

151,000

VI

113,500

37,500

151,000

Click here to view Other Fees

Minimum 50% marks in classes X & XII with Math as compulsory subject in class XII
Group Discussion & interview.

Students appearing in class XII and awaiting result can also apply.

Shortlisted candidates will be given a provisional offer letter.

 

Merit Based Scholarship:

  • 50% tuition fee waiver on 10% seats of each programs in first semester for CBSE, ICSE & State Board pass out students
  • Eligibility Criteria: 75% marks in class 10th and 12th

Uttarakhand State Board Toppers Scholarships for BBA Programs

Eligibility criteria:

  • Minimum 80% aggregate in Class 10th & 12th in UK State Board
  • 150 toppers from UK State Board
  • Merit order allotment of 1 seat per program.
  • The seats reserved under this category will be within the 15% reservation for Uttarakhand Domicile students.
  • Should have “Sthai Niwas Praman Patra” (Permanent Residence Certificate)
  • Students will be entitled only for 1 scholarship at a time (either through Uttarakhand Board Toppers or through Uttarakhand Domicile category)

Scholarship:

  • 25% of tuition fee waiver for Boys and 35% for Girl students in first year
  • Scholarship in subsequent years will be as per merit scholarship policy of the University

Disclaimer: Only one category of scholarship can be availed by student, Multiple scholarship to one candidate will not be granted 

 

BBA (Analytics and Big Data)

This course introduces the essential general programming concepts and techniques – such as Boolean, numbers, loops, function, debugging, specifics of R and Python – to students without prior programming knowledge. On completion, students will be able to identify the dataset characteristics, select and implement the machine learning techniques, and solve problems having high data dimensions and rapid data generation rate along with scalability issues.

BBA (Analytics and Big Data) - Programming for Analytics

With the advent of massive digitization and integration of business processes, huge amount of data is generated across various applications. Managing and processing data is increasingly becoming difficult with the conventional techniques and tools. Big data analytics is a domain that deals with the analysis of huge and heterogeneous data. The course focuses on Big Data analysis, existing frameworks, techniques, and its real-world applications along with the key technologies used in manipulating, storing, and analysing it.

BBA (Analytics and Big Data) - Big Data Analytics and Mining

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