MSc in Computing and Data Analytics
Degree qualification
Master of Science (MS)
Learning Mode
Online
Duration
1 years
Study mode
Full time
Total credits
120
Location of study
Approved centers/KIMT University
Course starting dates
Flexible entry options
Additional information
Accredited, Study abroad
Qualification
Master
Overview
The Master of Science in Computing and Data Analytics (M.Sc. CDA) program is a graduate-level, professional program available to both full-time and part-time students. The program is founded on established principles of mathematics and computing science for industry and business analytics. It combines two essential aspects of computing and data analytics:
- hardware and software platform design, development, customization, and management; and
- Analytics, business intelligence and knowledge discovery: the acquisition, storage, management, and analysis of large amounts of data to improve efficiency, innovation and decision making.
The Program offers individuals the unique opportunity to gain a deeper technical skill set and a broader understanding of current and future trends in business and information technology (IT). The principles of business and industry practices are interwoven throughout the program.
Course structure
The M.Sc. CDA is a rigorous graduate-level program that features innovative cross-disciplinary classes taught in a stimulating environment with opportunities for interaction with industry practitioners. The option of Internships, Projects, or Thesis elements following completion of the required courses provides flexibility in meeting students’ goals. Under special circumstances with the permission of the Program Coordinator, students may combine internship and project options.
What You'll Study
The MSc Individual Project is an independent piece of research based on a topic related to a student’s degree programme. Students are encouraged to focus on a problem confronting industry or a related area. The individual project provides students with an opportunity to demonstrate how the in-depth skills and knowledge they have gained during the taught courses can be used to provide solutions to practical problems. The individual project should contain a degree of original research.
PROGRAMME SPECIFIC REQUIREMENTS
We welcome Estonian and international students and consider all applicants on an individual basis.
Don’t worry if your qualifications are not listed here, we take a range of factors into account when assessing your application and are happy to consider other alternative combinations of qualifications and experience
Academic Requirements
- A four-year Bachelor of Science in Computing Science degree (or equivalent) with a minimum cumulative GPA of 3.0 out of 4.3 (B).
- The Admissions Committee will also look for personal qualities, such as technical experience, leadership and motivation, which are important for success as a professional in Computing and Data Analytics.
English requirements
- This program is taught in English. For applicants whose first language is not English, have to show a minimum English Language proficiency level in order to take entry into the program.
METHOD OF ASSESSMENT
Knowledge, understanding and intellectual skills are assessed through a combination of course assignments and consultancy project report. The weighting for the final overall assessment for each course taken shall be as follows:
- 50% Assignments
- 50% consultancy project report
- Every delivery centers will be advised to take some mandatory written and practical examination to evaluate a learner quality and adaptability.
Programme modality
The program is studied 100% online through the virtual learning platform with tutor support.
You will receive excellent support from the academic team, including your programme manager and your supervisor who will be with you every step of the way.
Duration
The programme is design to be delivered through one academic year.