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BBA Analytics & Big Data - Programming For Analytics
Program details
The BBA in Analytics and Big Data (Programming for Analytics) program at UPES School of Business is specifically designed to train individuals in the essential skills and knowledge required to work effectively with data and perform analytics tasks using programming languages. This specialized program concentrates on teaching programming concepts and techniques widely used in the field of data analytics. Participants will gain a solid foundation in programming languages like Python and R, known for their extensive libraries and frameworks that support data manipulation, analysis, and visualization. The curriculum is a balanced blend of theory and hands-on practical exercises, covering fundamental programming concepts, data manipulation techniques, statistical analysis, data visualization, and machine learning algorithms commonly used in analytics.
The course puts a strong emphasis on practical application, offering participants opportunities to work on real or simulated datasets through projects and case studies. This approach ensures that students can apply the learned programming skills and data analysis techniques to solve real-world problems. The BBA in Analytics and Big Data (Programming for Analytics) is a highly sought-after qualification in a rapidly growing field. By completing this program, students can gain the knowledge and skills needed to succeed in the analytics industry.
The full-time three-year course also provides various opportunities for practical exposure, such as summer internships, live projects with companies, industrial tours, and a major dissertation project. Additionally, students benefit from valuable insights shared by industry experts during guest lectures. As a flagship management qualification, this program not only develops participants' leadership and strategic management skills but also equips them with an up-to-date understanding of the fast-evolving modern business environment. Overall, the BBA in Analytics and Big Data (Programming for Analytics) at UPES School of Business offers a comprehensive and immersive learning experience to prepare students for a successful career in the dynamic field of data analytics.
Program Highlights
- Students undertake a major project (dissertation), gaining practical experience by working on industry-driven projects and internships to prepare them for careers in analytics.
- The BBA in Analytics & Big Data (Programming for Analytics) program covers both analytics and big data concepts, equipping students with skills to collect, manage, and analyze large volumes of data for informed business decisions.
- Students learn various programming languages used in data analytics such as Python, R, Advanced Excel, SQL, and other relevant tools, enhancing their programming prowess tailored specifically for analytics.
- Students acquire essential data visualization skills, enabling them to present data effectively through visual representations.
- The curriculum includes learning data mining techniques and data warehousing management to extract valuable patterns and insights from large datasets.
- Students benefit from guest lectures, real-world case studies, industry visits, and have access to modern smart classrooms, a well-equipped Analytics Lab, a comprehensive library, and advanced analytical tools.
Future Scope / Industry Trends
The future scope of the BBA in Analytics & Big Data (Programming for Analytics) program is promising, as the demand for skilled professionals in data analysis and interpretation continues to rise with the increasing volume of data generated by companies. Graduates with expertise in analytics and big data programming are well-positioned to drive business strategies by utilizing advanced techniques like machine learning and AI. Cloud platforms and technologies are transforming big data storage and processing, making graduates with knowledge of cloud computing and big data infrastructure highly valuable in developing scalable analytics solutions. Additionally, specialization in specific industries such as healthcare, finance, retail, marketing, and supply chain allows graduates to apply analytics techniques and create tailored solutions to meet industry-specific needs. Overall, the program equips graduates with the essential skills to play a crucial role in organizations' decision-making processes and success.
Career Opportunities
The BBA in Analytics and Big Data (Programming for Analytics) program by UPES School of Business offers a wide range of career opportunities. Through summer internships, live projects, and placements, students gain corporate experience and collaborate with potential employers to secure job opportunities in well-known organizations. The program opens doors to diverse roles in Analytics and Big Data across various industries, such as Data Analyst, Business Analyst, Business Intelligence Analyst, Data Scientist, Data Consultant, Market Research Analyst, E-commerce Analyst, Risk Analyst, Supply Chain Analyst, and Data Governance Specialist.
Placements
Over the past years, placements for BBA in Analytics and Big Data (Programming for Analytics) students at UPES School of Business have notably improved. Top companies like Flipkart, Reliance Industries, GMR, Fractal Analytics, Adani Wilmar, Accenture, Deloitte, Xiaomi, and others provide attractive job opportunities. Additionally, numerous mid-sized start-ups are eager to hire graduates from this program. Graduates can pursue careers as Data Analysts, Business Analysts, Business Intelligence Analysts, Data Scientists, Data Consultants, Market Research Analysts, E-commerce Analysts, Risk Analysts, Supply Chain Analysts, and Data Governance Specialists. The starting salary for freshers typically ranges 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
Interested students must meet the minimum eligibility criteria for BBA in Analytics and Big Data (Programming for Analytics) as outlined below: Minimum 50% marks in Classes X and XII.
Selection Criteria
The selection criteria for students interested in the BBA in Analytics and Big Data (Programming for Analytics) program offered by UPES School of Business depend on the individual's performance in Entrance Exam (UPESMET-UG) / UGAT’23/ CUET.