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BBA Analytics and Big Data
Program Details
The BBA (Analytics and Big Data) program offered by UPES, Dehradun is a comprehensive three-year course that focuses on providing students with the necessary skills and knowledge to work with data and perform analytics tasks using programming languages. The program emphasizes practical skills that can be directly applied to real-world data problems. Students learn programming languages commonly used in data analytics, such as Python and R, which are known for their extensive libraries and frameworks supporting data manipulation, analysis, and visualization.
The curriculum of the program covers a wide range of topics, including fundamental programming concepts, data manipulation techniques, statistical analysis, data visualization, and machine learning algorithms commonly used in analytics. The program incorporates a combination of theory and hands-on practical exercises to reinforce learning and application. Students also have the opportunity to work on projects and case studies using real or simulated datasets, allowing them to apply their programming skills and data analysis techniques to solve specific problems.
In addition to the academic curriculum, the BBA (Analytics and Big Data) program offers various experiential learning opportunities. These include summer internships, live projects with companies, industrial tours, and dissertations (major projects). Furthermore, students benefit from the insights and expertise shared by industry experts through guest lectures and talks.
Program Highlights
- The BBA (Analytics and Big Data) program has a strong focus on analytics and big data concepts, enabling students to collect, manage, and analyze large volumes of data for informed business decision-making.
- Comprehensive training in programming languages commonly used in data analytics, including Python, R, Advanced Excel, SQL, and other relevant tools, to develop strong programming skills tailored for analytics.
- In-depth understanding of data visualization techniques to effectively present data visually, a crucial aspect of analytics.
- Learning data mining techniques to extract valuable patterns and insights from large datasets, enhancing students' analytical capabilities.
- Opportunity to work on industry-driven projects, internships, real-world case studies, industry visits, and guest lectures from industry experts, providing practical experience and preparing students for a career in analytics.
- Access to modern smart classrooms, a well-equipped Analytics Lab, a well-stocked library, and advanced analytical tools, ensuring a conducive learning environment for students pursuing the program.
Future Scope / Industry Trends
The future scope of a BBA (Analytics and Big Data) program is highly promising. With the increasing volume of data generated by companies, there is a growing demand for professionals skilled in analyzing and interpreting this data to drive business strategies. Graduates with expertise in analytics and big data programming are well-equipped to meet this demand. The integration of advanced analytics techniques like machine learning and AI is becoming more prevalent, and those with a strong foundation in programming and analytics can leverage these technologies to develop predictive models, automate processes, and gain valuable insights. Cloud platforms and technologies are revolutionizing the storage and processing of big data, and graduates familiar with cloud computing and big data infrastructure can contribute to designing and implementing scalable analytics solutions. Specialization in specific industries such as healthcare, finance, retail, marketing, and supply chain is also possible, allowing graduates to apply analytics techniques and develop tailored solutions for industry-specific needs. Overall, the program provides graduates with the skills and knowledge necessary to thrive in a data-driven business environment and pursue rewarding career opportunities in various industries.
Career Opportunities
The BBA (Analytics and Big Data) program at the School of Business, UPES offers a wide range of career opportunities. Students can gain valuable experience in the corporate world through summer internships, live projects, and placements with renowned organizations. They have the chance to discover their career interests, engage with prospective employers, and potentially secure job offers. The field of Analytics and Big Data presents a multitude of career options across various industries, encompassing a diverse set of roles and functions.
Here are the listed professional paths in the field of BBA (Analytics and Big Data) that students may choose to pursue:
- Data Analyst
- Business Analyst
- Business Intelligence Analyst
- Data Scientist
- Data Consultant
- Market Research Analyst
- E-commerce Analyst
- Risk Analyst
- Supply Chain Analyst
- Data Governance Specialist
Placements
The placement prospects for students pursuing BBA (Analytics and Big Data) have shown significant improvement in recent years. Renowned companies such as Flipkart, Reliance Industries, GMR, Fractal Analytics, Adani Wilmar, Accenture, Deloitte, and Xiaomi, among others, provide attractive employment opportunities for these students. Furthermore, numerous mid-sized start-ups display a keen interest in hiring undergraduates specializing in BBA (Analytics and Big Data). Various job roles, including BBA Data Analyst, Business analyst, Business Intelligence Analyst, Data Scientist, Data Consultant, Market Research Analyst, E-commerce Analyst, Risk Analyst, and Supply Chain Analyst, as well as Data Governance Specialist, are available for these graduates. Freshers in this field typically receive starting salaries ranging from INR 6-30 lakh per annum, depending on their skills, knowledge, and exposure.
Fee Structure
Click here for detailed Fee Structure.
Curriculum
Semester 1
Course | L | T | P | Credit |
---|---|---|---|---|
Principles and Practices of Management | 3 | 0 | 0 | 3 |
Business Economics 1 | 3 | 0 | 0 | 3 |
Business Mathematics | 3 | 0 | 0 | 3 |
Business Accounting | 3 | 0 | 0 | 3 |
Business Communication | 3 | 0 | 0 | 3 |
Organizational Behavior | 3 | 0 | 0 | 3 |
Business Environment | 2 | 0 | 0 | 2 |
Living Conversations | 2 | 0 | 0 | 2 |
Environment Sustainability & Climate Change (Theory) | 2 | 0 | 0 | 2 |
TOTAL | 24 |
Semester 2
Course | L | T | P | Credit |
---|---|---|---|---|
Business Economics 2 | 3 | 0 | 0 | 3 |
Business Statistics | 3 | 0 | 0 | 3 |
Financial Management | 3 | 0 | 0 | 3 |
Marketing Management | 3 | 0 | 0 | 3 |
Technologies of the future | 2 | 0 | 0 | 2 |
Human Resource Management | 3 | 0 | 0 | 3 |
Operations Management | 3 | 0 | 0 | 3 |
Critical Thinking & Writing | 2 | 0 | 0 | 2 |
Environment Sustainability & Climate Change (living lab) | 0 | 0 | 4 | 2 |
Community Engagement and Social Internship | 2 | 0 | 0 | 2 |
TOTAL | 26 |
Semester 3
Course | L | T | P | Credit |
---|---|---|---|---|
Spreadsheet Modelling | 2 | 0 | 2 | 3 |
Data Environment | 3 | 0 | 0 | 3 |
Business Ethics and CSR | 2 | 0 | 0 | 2 |
Global Context of Business | 1 | 0 | 0 | 1 |
Data Management | 2 | 0 | 2 | 3 |
Research Methodology & Report Writing | 3 | 0 | 0 | 3 |
Consumer Behaviour & Market Research | 3 | 0 | 0 | 3 |
Minor/Exploratory I | 3 | 0 | 0 | 3 |
Meta 101 | 1 | 0 | 0 | 1 |
Working with Data | 2 | 0 | 0 | 2 |
TOTAL | 24 |
Semester 4
Course | L | T | P | Credit |
---|---|---|---|---|
Web Analytics | 2 | 0 | 2 | 3 |
Advanced Statistics | 3 | 0 | 0 | 3 |
Specialization Paper I (Specialization 1: Programing for Analytics, Course: Overview of Programing for Analytics 2: Big Data Analytics and Mining, Course: Big Data Analytics) | 3 | 0 | 0 | 3 |
Industrial Visit | 0 | 0 | 2 | 1 |
Minor/Exploratory II | 3 | 0 | 0 | 3 |
Minor/Exploratory III | 3 | 0 | 0 | 3 |
Environmental, Social and Governance | 3 | 0 | 0 | 3 |
Business Analytics | 2 | 0 | 2 | 3 |
Design Thinking | 2 | 0 | 0 | 2 |
TOTAL | 24 |
Semester 5
Course | L | T | P | Credit |
---|---|---|---|---|
Text Mining | 2 | 0 | 2 | 3 |
Specialisation Paper II (Speacialization 1: Programing for Analyitcs, Course: Data Visualization 2: Big Data Analytics and Mining, Course: Data Mining) | 3 | 0 | 0 | 3 |
Business Intelligence | 2 | 0 | 2 | 3 |
Project Management | 3 | 0 | 0 | 3 |
Minor/Exploratory IV | 3 | 0 | 0 | 3 |
Minor/Exploratory V | 3 | 0 | 0 | 3 |
Dissertation I | 0 | 0 | 0 | 2 |
Summer Internship | 0 | 0 | 0 | 2 |
Predictive Modeling | 2 | 0 | 2 | 3 |
Essentials of Strategic Management | 3 | 0 | 0 | 3 |
Leadership and Teamwork | 2 | 0 | 0 | 2 |
TOTAL | 30 |
Semester 6
Course | L | T | P | Credit |
---|---|---|---|---|
Data Preparation | 3 | 0 | 0 | 3 |
Dissertation II | 0 | 0 | 0 | 4 |
Minor/Exploratory VI | 3 | 0 | 0 | 3 |
Start your Start-up | 2 | 0 | 0 | 2 |
TOTAL | 12 |
Eligibility
The minimum eligibility criteria for BBA (Analytics and Big Data) to be fulfilled by interested students is as follows: Minimum 50% marks in Classes X and XII.
Selection Criteria
The process of selection criteria for students interested in pursuing BBA (Analytics and Big Data) offered by UPES is based on the individual's performance in Entrance Exam (UPESMET-UG) / UGAT’23/ CUET
Minors
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