In the increasingly dynamic and digital world where data is touted to be the new ‘oil’, all businesses are compelled to undertake global disruption and transformation, aided by data analytics.
- A Gartner survey of CEOs and senior executives revealed that Artificial Intelligence and Analytics is reported as the most impactful new technology for the third year in a row.
- The U.S. News & World Report’s annual job ranking list of 2022 showed that data scientists and analysts continue to be top careers, offering competitive salaries, opportunity for advancement, and a healthy work-life balance.
- A 2020 Burtch-Works study of data science salaries reported the latest salary trends based on experience. Entry-level data scientists have a median starting salary of $95,000 while experienced data scientist salaries range from $165,000 $250,000.
- According to a report by IBM, there will be a 39% growth in employer demand for data professionals
The Bachelor of Business major in Business Analytics degree is designed to prepare students to develop solid skills in data analytics for the challenges they will face as a business leader in today's rapidly changing environment. The program is taught as a combination of lectures and hands-on exercises in our ‘Data Analytics Lab’ using state of the art data science and analytics software.
The Program is organized around five key themes:
- Theme 1: Foundations of Business in Industry 4.0
This incorporates subjects related to accounting, marketing, organizational behavior, operations management, finance, statistics and others.
- Theme 2: Data Analytics Technologies for Digital Disruption
This incorporates subjects covering cutting-edge data analytics, artificial intelligence (AI), machine learning (ML) and deep learning (DL) tools and techniques using industry standard software like Statistical Analysis and Systems (SAS) Viya, Structured Query Language (SQL) and Python through Jupyter Notebooks.
- Theme 3: Business Transformation through Data Analytics
This incorporates subjects covering the application of data science and analytics technologies in micro settings of an organization’s business functions (like accounting, human resources, operations, marketing and the like) as well as in macro settings of consumer markets, financial markets, labor markets and economic development across countries and regions.
- Theme 4: Broadening Horizons
This theme incorporates a host of subjects’ students can choose as electives to augment and enhance their learning experience in business analytics. Such subjects can range in the areas of digital marketing, financial technologies, and other areas of management
- Theme 5: Industry-based practicum
This is an industry-based analytics project where students will work on a real-life business scenario and develop a data analytics solution in a live or a stimulated environment.
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