In an era where data is the new oil, the ability to analyze and derive insights from vast amounts of information is a skill in high demand. The Associate Degree in Data Science is designed to equip students with the foundational knowledge and practical skills needed to navigate and excel in the dynamic world of data. By blending rigorous academic coursework with hands-on experience, this program prepares students to meet the challenges of data-driven decision-making in various industries, including business, healthcare, finance, and technology.

Our comprehensive curriculum covers essential areas such as programming, data analysis, machine learning techniques, and data visualization, ensuring that graduates are well-versed in the latest tools and techniques. Beyond technical proficiency, the program emphasizes critical thinking, ethical responsibility, and effective communication, fostering well-rounded professionals ready to lead in multidisciplinary teams. Graduates will unlock the potential of data and drive innovation in their chosen field, setting a solid foundation for a successful career in data science.

Associate Degree in Data Science is aimed to:

1. Develop a comprehensive understanding of essential data science principles, including machine learning techniques (supervised, unsupervised, and semi-supervised learning), data mining, and prescriptive and predictive analytics for complex data analysis throughout the data lifecycle.
2. Apply advanced quantitative techniques such as statistics, time series analysis, optimization, and simulation to build and deploy robust models for data analysis and prediction.
3. Identify, extract, and integrate relevant heterogeneous data sources, including social media, open data, and governmental data, using modern data engineering tools.
4. Utilize a variety of performance and accuracy metrics for rigorous model validation, hypothesis testing, and information retrieval in data science projects.
5. Develop and integrate data analytics solutions into organizational workflows and business processes to support agile decision-making and operational efficiency.
6. Effectively visualize data analysis results, design interactive dashboards, and employ data storytelling techniques to communicate insights clearly.
7. Demonstrate strong problem-solving skills and professional, ethical, and social responsibility by making informed and principled decisions in data science projects.
8. Enhance communication skills for both technical and non-technical audiences to facilitate effective collaboration, leadership, and career development in the field of data science.

1. Minimum 50% marks in Intermediate/12 years schooling/A- Level (HSSC) or Equivalent with Mathematics are required for admission in Associate Degree in Data Science. Equivalency certificate by IBCC will be required in case of education from some other country or system.
2. The students who have not studied Mathematics at intermediate level have to pass deficiency courses of Mathematics (06 credits) in first two semesters.
3.  “Zero Semester” is not applicable.

To be eligible for the award of Associate Degree Program in Data Science, a student is required to complete at least 72 credit hours with minimum Cumulative Grade Point Average of 2.00 out of 4.00

Students are required to complete a Capstone Project of 3 credit hours in the final semester of the Program. The choice of the capstone project is at the student’s discretion. However, approval of the Capstone project from the student advisor is compulsory.