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This 3-year program designed to prepare graduates who can conduct data-driven investigations, and conduct visual and advanced analytics by acquiring and managing data of all types. Through this course, graduates will develop an in-depth understanding of Data Science and the techniques for analysis of quantitative and qualitative data to arrive at solutions. They will be able to identify patterns, predict trends, and analyse data from sectors such as Manufacturing, Banking & Finance, Retail, and Healthcare.
This skills-rich degree will provide you with the necessary training for employment as Data Analyst, by integrating the following components in the curriculum:
The program aims to:
The program curriculum covers the essentials of Statistics and dives deep into Data Science. Some of the major component of the curriculum are:
Discrete Mathematics | Mathematical Statistics | Introduction to Computer Programming | Introduction to Databases | Linear Algebra | Calculus | Introduction to Data Science | Statistical Data Analysis
Advanced Calculus | Algorithms and Data Structures | Data Integration and Warehousing | Visual Analytics Programming for Analytics | Consumer Behaviour | Machine Learning
Simulation Modelling | Data Mining | Object Relational Databases | Data Science Capstone Project | Social Web Analytics | Advanced Analytics | Big Data Processing Techniques & Platforms,
Data represents a potential goldmine of information – one that can give businesses a competitive edge if they can master the art of gathering it, analysing it, and putting it to good use. More and more companies are using it to further their reach, boost sales, operate more efficiently, and introduce new products and services. Skilled Business Analysts power these data-driven business decisions. Graduates trained in Data Analysis can have a huge impact on a business, driving important decisions that improve operations or identify future opportunities that could boost growth. The professional landscape looks promising with:
Thus, jobs are abundant and the demand for data professionals continues to grow.
Some career paths include: