All graduate students pursuing a non-thesis MSc. Program are required to complete a project. The project topic and contents are based on the interest and background of the student and are approved by the faculty member serving as the Project Supervisor. At the completion of the project, the student is required to submit a final report and present the project. This course aims to provide the students with skills and training to conduct research in a certain area, manage a project on time and to interpret the outcome of the research study. In addition, students are expected to gain experience and further skills in creating a proper project proposal, identifying and evaluating the principal components that will establish the project scope, conducting a literature survey and compiling the results, deciding on the formal methodology and analyzing the outcome, gaining experience in teamwork, cooperation and information sharing, publishing a project report in a format accepted by the scientific communities, and finally preparing and executing a presentation of the project outcome.
Term Project (DA 592)
| Programs\Type | Required | Core Elective | Area Elective |
| Data Analytics-Non Thesis |
CONTENT
PROGRAMME OUTCOMES
1. Develop the ability to use critical, analytical, and reflective thinking and reasoning
2. Reflect on social and ethical responsibilities in his/her professional life.
3. Gain experience and confidence in the dissemination of project/research outputs
4. Work responsibly and creatively as an individual or as a member or leader of a team and in multidisciplinary environments.
5. Communicate effectively by oral, written, graphical and technological means and have competency in English.
6. Independently reach and acquire information, and develop appreciation of the need for continuously learning and updating.
1. Design and model engineering systems and processes and solve engineering problems with an innovative approach.
2. Establish experimental setups, conduct experiments and/or simulations.
3. Analytically acquire and interpret data.
1. Comprehend the conceptual foundations of analytical methods and techniques within the scope of business analytics,
2. Acquire theoretical and practical knowledge on applied information systems by developing fundamental programming skills,
3. Improve decision making by turning high-volume data into useful information and integrating data analysis tools
4. Turn high-volume data into useful information by using quantitative models and understanding and managing data analysis techniques, communicate and visualize the results for business use
5. Understand the data quality, data integrity and data accuracy concepts, and occupational ethics regarding data privacy and intellectual property