Build a Career in the World of Data-Driven Innovation
business intelligence, and data visualization using leading tools like Power BI and Tableau. The
program also focuses on ethical data practices and regulatory compliance, preparing graduates
for thriving careers in today’s data-driven world
The BSc in Data Science builds skills in statistics, machine learning, Python, and SQL, with a focus on data handling, visualization, and problem-solving. Graduates are equipped to make data-driven decisions across industries
Gain deep knowledge in statistical analysis, business analytics, and machine learning, while mastering hands-on skills in Python and SQL for advanced data manipulation and predictive modeling. Learn to manage and analyze large datasets, design optimized databases, and build powerful visualizations using Power BI and Tableau.
Transform raw data into actionable insights through clear, interactive dashboards that support informed, data-driven decision-making. Get practical experience with leading technologies like Python, SQL, Hadoop, Spark, cloud computing, and industry tools like Power BI and Tableau. Apply advanced analytics to real-world challenges across sectors such as finance, healthcare, and e-commerce—empowering organizations with strategies that drive measurable results.
The BSc in Data Science and Analytics is designed to turn your passion for numbers and patterns into real-world impact. You'll build strong foundations in statistics, machine learning, Python, and SQL, while learning how to analyze, visualize, and interpret data to solve real problems. This program prepares you to become a confident, job-ready professional in the fast-growing field of data science.
Develop critical thinking and problem-solving abilities to tackle real-world business challenges using data science and analytical frameworks
Gain hands-on experience with industry-standard tools such as Python, SQL, Hadoop, Spark, and cloud platforms. Build practical skills through projects using Power BI and Tableau to solve complex data problems.
Learn to communicate data-driven insights clearly and effectively to both technical and non-technical audiences, while collaborating across multidisciplinary teams.
Build a strong foundation in all four pillars of analytics—descriptive, diagnostic, predictive, and prescriptive—to uncover insights and support smarter decision-making.
Apply advanced analytics techniques and strategic thinking to solve complex business problems, create data-driven strategies, and contribute to organizational success across domains like finance, healthcare, retail, and more.