BBA in Analytics & Big Data (Programming for Analytics)

By suraj, 10 August, 2023
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<span>BBA <br>Analytics and Big Data </span>Programming for Analytics
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PROGRAMMING FOR ANALYTICS
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PROGRAMMING FOR ANALYTICS
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BBA Analytics & Big Data - Programming For Analytics
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Course Details
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Enquiry Form
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Program details
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Description

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.

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Program Highlights
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  • 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.
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Future Scope / Industry Trends
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Description

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.

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Career Opportunities
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Description

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.

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Placements
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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.

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Fee Structure
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Click here for detailed Fee Structure.

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Curriculum
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Semester 1

CourseLTPCredit
Principles and Practices of 
Management
3003
Business Economics 13003
Business Mathematics3003
Business Accounting3003
Business Communication 3003
Organizational Behavior3003
Business Environment2002
Living Conversations2002
Environment Sustainability & 
Climate Change (Theory)
2002
TOTAL   24

Semester 2

CourseLTPCredit
Business Economics 23003
Business Statistics3003
Financial Management3003
Marketing Management3003
Technologies of the future2002
Human Resource Management3003
Operations Management3003
Critical Thinking & Writing2002
Environment Sustainability & 
Climate Change (living lab)
0042
Community Engagement and 
Social Internship
2002
TOTAL   26

Semester 3

CourseLTPCredit
Spreadsheet Modelling2023
Data Environment3003
Business Ethics and CSR2002
Global Context of Business 1001
Data Management2023
Research Methodology & 
Report Writing
3003
Consumer Behaviour & 
Market Research
3003
Minor/Exploratory I3003
Meta 1011001
Working with Data2002
TOTAL   24

Semester 4

CourseLTPCredit
Web Analytics2023
Advanced Statistics3003
Specialization Paper I 
(Specialization 1: Programing 
for Analytics, Course: Overview 
of Programing for Analytics 2: 
Big Data Analytics and Mining, 
Course: Big Data Analytics)
3003
Industrial Visit0021
Minor/Exploratory II3003
Minor/Exploratory III3003
Environmental, Social and Governance3003
Business Analytics2023
Design Thinking2002
TOTAL   24

Semester 5

CourseLTPCredit
Text Mining2023
Specialisation Paper II 
(Speacialization 1: Programing
 for Analyitcs, Course: Data 
Visualization 2: Big Data Analytics
and Mining, Course: Data Mining)
3003
Business Intelligence2023
Project Management3003
Minor/Exploratory IV3003
Minor/Exploratory V3003
Dissertation I0002
Summer Internship 0002
Predictive Modeling2023
Essentials of Strategic Management3003
Leadership and Teamwork2002
TOTAL   30

Semester 6

CourseLTPCredit
Data Preparation3003
Dissertation II0004
Minor/Exploratory VI3003
Start your Start-up2002
TOTAL   12
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Eligibility
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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.

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Selection Criteria
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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’25/ CUET.

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