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Data Science and Analytics is an interdisciplinary field that aims to analyze large datasets, extract meaningful information from them, and use that information in strategic decision-making processes. The department provides students with comprehensive education in collecting, processing, and analyzing data and in developing predictive models using those data. In brief, it teaches students how to process raw data and generate “valuable insights.”
The Department of Data Science and Analytics covers a wide range of courses. Students acquire in-depth knowledge in areas such as statistics, data mining, machine learning, artificial intelligence, programming, data visualization, and big data technologies. Topics such as data security and ethics also form an important part of the programme.
What Do Graduates Do?
Graduates of the Department of Data Science and Analytics have access to a broad range of career opportunities across many sectors. They take an active role in the collection, cleaning, analysis, and reporting of data. The main positions include:
Data Scientist: Conducts data-driven research, describes and classifies current conditions, and develops predictive models for the future.
Data Analyst: Analyzes and interprets company data and reports findings to support accurate decision-making.
Business Analyst: Understands business processes and requirements and develops data-driven solutions.
Machine Learning Engineer: Develops and implements machine-learning algorithms.
Artificial Intelligence Specialist: Works on the design and development of artificial-intelligence systems.
These positions offer career opportunities in a variety of sectors, including banking, healthcare, e-commerce, telecommunications, manufacturing, finance, and marketing.