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Program Overview
Master of Data Science Program
Program Name
The Master of Data Science program is designed to prepare graduates for careers in data science.
Program Description
The program prepares graduates to be capable of providing visualization of data, data mining, and information management. Graduates should have experience in infrastructure design, cloud computing, and data storage, making them nationally competitive. The program will provide graduates able to mitigate risk and fraud, identify emerging data, create statistical methodologies, and contribute to the production of knowledge and its transformation into an engine for development.
Total Credit Hours for Completing the Program
The total credit hours required to complete the program is 42.
Professional Occupations/Jobs
The program prepares students for professions as:
- Data Analyst
- Big Data Analyst
- Business Analyst
- Data Scientist
Program Mission
The mission of the program is to prepare graduates with the specialist knowledge, technical skills, and values required by a data scientist to solve data-intensive problems.
Program Goals
The program goals are:
- Prepare students to work as Data Science specialists in various companies and government agencies.
- Develop knowledge in data science through the analysis, design, and evaluation of data science techniques.
- Enable students to evaluate data-intensive systems.
- Prepare students to engage in lifelong learning activities within a professional, legal, and ethical framework.
Program Learning Outcomes
The program learning outcomes include:
- Knowledge and Understanding: Understand data science theory and software development fundamentals to produce computing-based solutions.
- Skills:
- Analyze a complex computing problem and apply principles of data science and other relevant disciplines to identify solutions.
- Design, implement, and evaluate a computing-based solution to meet a given set of data and computing requirements in the context of the program's discipline.
- Communicate effectively in a variety of professional contexts.
- Values, Autonomy, and Responsibility:
- Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
- Function effectively as a member or leader of a team engaged in activities appropriate to the program's discipline.
Admission
The general requirements for admission to the university are available, and the admission requirements specific to the Master of Data Science program are also provided. Admission to the program is highly competitive, with a limited number of seats available based on the capacity of resources of the College of Computers and Information Technology.