Educational Aims
The Master of Science in Big Data Analytics program will seek to meet the following specific objectives. By the end program, students will be able to:
1. Apply a coherent and advanced knowledge of Information Technology, create and provide innovative solutions to complex problems with intellectual independence;
2. Analyze critically a big data problem identifying key requirements, alternative solutions and evaluation methods.
3. Demonstrate broad knowledge of all technical areas of Information technology and knowledge of data management and data analytics.
4. Manage various aspects of an IT organization, using known standards and best practices, including IT strategic planning, IT operations and systems planning and implementation, functional requirements and their management, and cost effective IT service delivery;
5. Analyze a variety of data (including numerical and unstructured data) to visualize and draw conclusions to aid decision making;
6. Demonstrate personal discipline, critical thinking and judgment by completing a substantial project using the state-of-the-art techniques;
7. Formulate strategy/design decisions and record research/test strategies and results throughout the various stages of a major Big Data Analytics project using appropriate software tools;
8. Prepare the students for advanced education (PhD) in big data, and other postgraduate studies.
The Master of Science in Big Data Analytics program will seek to meet the following specific objectives. By the end program, students will be able to:
- Apply a coherent and advanced knowledge of Information Technology, create and provide innovative solutions to complex problems with intellectual independence;
- Analyze critically a big data problem identifying key requirements, alternative solutions and evaluation methods
- Demonstrate broad knowledge of all technical areas of Information technology and knowledge of data management and data analytics;
- Manage various aspects of an IT organization, using known standards and best practices, including IT strategic planning, IT operations and systems planning and implementation, functional requirements and their management, and cost- effective IT service delivery;
- Analyze a variety of data (including numerical and unstructured data) to visualize and draw conclusions to aid decision making;
- Demonstrate personal discipline, critical thinking and judgment by completing a substantial project using the state-of-the-art techniques;
- Formulate strategy/design decisions and record research/test strategies and results throughout the various stages of a major Big Data Analytics project using appropriate software tools;
- Prepare the students for advanced education (PhD) in big data, and other post- graduate.