- Home
- Academics
- School of Business
- BBA
- Analytics and Big Data Anlaytics
- Big Data Analytics and Mining
BBA Analytics And Big Data - Big Data Analytics And Mining
Program details
The BBA (Analytics and Big Data) - Big Data Analytics and Mining program at UPES is a specialized undergraduate degree program that focuses on equipping students with the skills and knowledge necessary to work with data and perform analytics tasks. The program combines principles of business administration with technical skills required for data analysis and interpretation. Students will learn various analytical techniques and tools to extract meaningful insights from large volumes of data.
The specialization in Big Data Analytics and Mining within the program offers advanced courses that delve into specific topics related to big data analytics. These topics may include Text Mining and Natural Language Processing, Web Mining and Social Network Analysis, Data Visualization and Storytelling, and Big Data Analytics Platforms. This specialization prepares students for a wide range of career paths in the field of data analytics, including roles such as data analyst, data scientist, business intelligence analyst, data engineer, data consultant, and data strategist. Graduates can find employment opportunities in industries such as finance, marketing, healthcare, e-commerce, consulting, and more.
The BBA (Analytics and Big Data) - Big Data Analytics and Mining program at UPES provides students with a comprehensive learning experience. It is a full-time course designed to support fast-track career progression by developing leadership and strategic management skills. The three-year program includes summer internships, live projects with companies, industrial tours, a dissertation (major project), and talks from industry experts. This hands-on approach allows students to apply their knowledge in real-world scenarios and gain practical industry experience.
Program Highlights
- The BBA (Analytics and Big Data) - Big Data Analytics and Mining program focuses on both analytics and big data, teaching students how to collect, manage, and analyze large volumes of data to make informed business decisions.
- Students gain essential programming and technical skills for working with big data, including languages like Python or R, and proficiency in tools like SQL, Hadoop, and Spark.
- The specialization in Big Data Analytics and Mining offers courses covering data mining, data visualization, predictive analytics, machine learning, statistical analysis, and database management.
- Students learn how to effectively present data visually and extract valuable patterns and insights from large datasets using data mining techniques.
- Students have the opportunity to work on industry-driven projects, internships, and gain exposure to real-world case studies, industry visits, and guest lectures from industry experts.
- The BBA (Analytics and Big Data) - Big Data Analytics and Mining program provides state-of-the-art facilities, including modern smart classrooms, a well-equipped Analytics Lab, a well-stocked library, and advanced analytical tools. Additionally, there is encouragement for student and faculty exchange, research projects, seminars, conferences, and internships.
Future Scope / Industry Trends
The future scope of the BBA (Analytics and Big Data) - Big Data Analytics and Mining program is promising and offers numerous opportunities. In today's data-driven business environment, where decision making relies heavily on data and insights, BBA graduates with expertise in big data analytics will play a crucial role. They will possess the skills to collect, analyze, and interpret data, enabling them to support strategic decision making, optimize operations, and identify new business opportunities. The growing demand for professionals who can extract valuable insights from large datasets presents a competitive edge for graduates specializing in big data analytics and mining. The integration of advanced analytics techniques like machine learning and AI is becoming more prevalent, transforming the way businesses operate. Organizations across industries are leveraging data analytics to make informed decisions, enhance customer experiences, optimize processes, and gain a competitive advantage. Companies will actively seek BBA graduates with expertise in big data analytics, and those familiar with cloud computing and big data infrastructure will be able to design and implement scalable analytics solutions. Furthermore, graduates can specialize in specific industries such as healthcare, finance, retail, marketing, and supply chain, among others, by combining their domain knowledge and programming skills to develop industry-specific solutions.
Career Opportunities
The BBA (Analytics and Big Data) - Big Data Analytics and Mining program at UPES School of Business offers a wide range of career opportunities. Students have the chance to work with renowned organizations and gain valuable experience in the corporate world through summer internships, live projects, and placements. They can explore their career interests, connect with potential employers, and secure job prospects. The field of Analytics and Big Data offers diverse functions and is applicable in various industries, providing abundant career options for graduates.
The professional paths available for students in the field of BBA (Analytics and Big Data) - Big Data Analytics and Mining, as outlined below.
- 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
Placement opportunities for students pursuing BBA (Analytics and Big Data) - Big Data Analytics and Mining have shown significant improvement in recent years. Renowned companies such as Flipkart, Reliance Industries, GMR, Fractal Analytics, Adani Wilmar, Accenture, Deloitte, Xiaomi, and others offer attractive job prospects for these students. Moreover, numerous mid-sized start-ups are actively seeking to hire undergraduates from the BBA (Analytics and Big Data) - Big Data Analytics and Mining program. Various job roles are available, 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. Typically, fresh graduates in this field can expect starting salaries ranging from INR 6 to 30 lakhs per annum, depending on their skills, knowledge, and industry 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) - Big Data Analytics and Mining 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) - Big Data Analytics and Mining offered by UPES is based on the individual's performance in Entrance Exam (UPESMET-UG) / UGAT’23/ CUET