At SKK GSB, you have the freedom to tailor your MBA experience by choosing from three specialization tracks (AI & Business Analytics, Finance, and Marketing) and taking specific courses.
MBA specialization tracks in particular areas signal to prospective employers that you have deep knowledge of a particular field, along with relevant analytical skills and tools.
Pursuing a track is optional and is not a degree requirement.
AI & BUSINESS ANALYTICS
The demand for data analytics and analytics-aware managers has surged in the business world. SKK GSB is at the forefront of the digital and data-driven revolution and offers a dedicated analytics-focused track in the full-time MBA program.
Students in the track not only receive our reputed grounding in core business and functional areas, but are also trained in how to conceptualize, implement and lead analytics-driven projects. The track is designed to prepare MBA graduates to compete in high-demand careers related to big data and AI & Business Analytics across marketing, finance, and management domains.
Programming for Analytics
The course introduces basic programming concepts and techniques for data analytics using Python. By the end of this course, students will develop proficient programming skills using the core data science Python library to clean, manipulate and analyze data to solve a broad set of business analytics problems.
Database Management
As corporate data is growing exponentially, understanding the foundations of how to manage and work with large databases is an essential starting point of business analytics. This course will provide you with a solid understanding of relational databases in real-world applications. You will learn the fundamentals of Database Management Systems and SQL basics for data science.
Business Intelligence and Data Visualization
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. Data visualization helps companies to analyze its different processes so the management can focus on the areas for improvement to generate more revenue and improve productivity. The class is designed in a format of flipped classroom which enable students to master how to frame a BI business question, and how to develop the BI solution prototype.
Business Forecasting
This class teaches fundamental models for business data analysis and forecasting. The first half of the class teaches interpretable linear analysis using least squares, the second half teaches classical forecasting models alongside Facebook Prophet. Students can complete the class using Excel, but are encouraged to learn and use Python.
AI & Machine Learning
Different "real-world" business problem will be solved using key machine learning methods. The data science solutions include specific machine learning methodologies and algorithms such as artificial neural networks, clustering, decision trees, and natural language processing. However, the course does not presume a sophisticated mathematical background. In general, the course is designed to minimize mathematics and tries to be as conceptual as possible. On the other hand, this course's goal is not to give a high-level overview but to significantly understand data science. To achieve this, you will learn how the statistical methodologies and algorithms work exactly using examples and Python programming.
Finance Analytics
Quantitative models based on statistical foundations and programming skills are vital ingredients to process information accurately and promptly. This course uses R programming to collect and analyze the data, optimize the investment portfolio, and trade securities. The course is well suited for a wide range of audiences. If you want to know how to program using R, you will learn that with the investment examples. If you're going to have extensive quantitative skills in the investment field, this course can be the first step. If you want to use data analysis for your future personal investment, this course will give you enough tools to start.
Marketing Analytics
Customers' digital footprints have become a significant asset for marketers seeking to gain a competitive edge. We will concentrate on how to use cutting-edge data analysis tools, how to communicate the findings, and how to develop insights and enhance marketing decision-making throughout the course. The course will focus conceptual knowledge as well as hands-on experience with data analysis in the R/Python programming language.
People analytics
The goal of this course is to furnish you with the necessary knowledge and skills to be proficient people analysts. The skills that you will acquire at the end of this course will help you hire the right candidate for your company, measure the work performance of your employees accurately, and motivate and manage people in your company using data-driven, evidence-based approaches.
Digital & Social Media Analytics
With the increase in the number of users online, the data generated has increased many folds, bringing in the massive scope for gaining insights into the untapped gold mine, the digital and social media data. Despite the availability of this 'Big Data,' it is challenging to extract insights as the data is mostly unstructured, requiring sophisticated tools to download data, clean, and analyze it. Digital and Social Media Analytics course will provide you with a detailed step-by-step guide to access and analyze data using Python. With this course's successful competition, you get ready to embark on your journey as an independent social media analyst.
Pre-requisite course: Programming for Analytics
Track Curriculum
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Elective courses |
Management Science and Decision Analytics
Business Forecasting
Database Management
Marketing Analytics
AI and Machine Learning for Business
Business Intelligence and Data Visualization
Digital and Social Media Analytics
Finance Analytics |
*Each Course offerings and course schedule are subject to change.
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