Abertay University online section appears to be run by Higher Ed Partners.
- Asynchronous, 6 Start dates per year, Pay per module, uses Canvas LMS
- Uses Python language (Confirmed in E-mail)
- Course Structure and Flexibility: The entire course is asynchronous, catering to those in full-time work. Lectures can be accessed at your convenience, with an expectation to complete each module within an 8-week time slot. The course is designed on a week-by-week basis, featuring discussion boards, email access to module tutors and leaders, a student success team you can call, and access to all facilities available to the general student population.
- MBA Specializations: The MBA program offers a major in Business Administration with a minor specialization in Data Analytics. All MBA programs share the same foundational structure. Unfortunately, you can only choose one specialization at the beginning, and multiple specializations are not allowed. This is applicable for the Computer Science Masters and the Engineering Masters as well.
- Recognition of Prior Learning (RPL) or credit transfer: To grant an RPL, we need clear evidence that the previous knowledge youβve gained is aligned with the knowledge that youβre supposed to gain at Abertay.Β The maximum number of modules that can be covered by an RPL at Abertay University isΒ four, which is equivalent to 60 credits. No RPL can be claimed for the Project Proposal or Project module.
- Study plan: On the online Masters, you will study 11 modules in total and always one module at a time. The duration of each module is fixed at 7 study weeks followed by a 1 week break in between modules. The final module, your dissertation, is a double-credit module that lasts 16 weeks. The order of the modules is therefore already pre-determined (Please note that taking study breaks can affect your module trajectory). If you follow the modules back-to-back without taking a study break, you can graduate within a minimum of 2 years. Twice a year, in August and in December, there are also 2-week breaks between modules (in addition to the 1 week that follows each module). Each module is designed to be 150 hours of study, which equates to 21.50 hours per week.
MBA
- MBA Data Analytics course information page Uses Python!
- MBA with Fintech
- MBA with Cybersecurity
- MBA with Entrepreneurship
MSc Computer Science
- MSc Computer Science with Artificial Intelligence
- MSc Computer Science with Data Analytics
- MSc Computer Science with Software Engineering
- MSc Computer Science with Cyber Security
- MSc Computer Science
Fee Schedule
MBA programmes
Cost per 15 credit module: Β£625 Cost for independent research project 30-credit module: Β£1,250 Total programme cost: Β£7,500 (~CAD12915)
MSc Computer Science programmes
Cost per 15 credit module: Β£550 Cost for independent research project 30-credit module: Β£1,100 Total programme cost: Β£6,600 (~CAD11363)
MSc Engineering programmes
Cost per 15 credit module: Β£575 Cost for independent research project 30-credit module: Β£1,150 Total programme cost: Β£6,900 (~CAD11882)
MBA Data Analytics
Modules
- Global People Management (MBA501) (500 words+2500 word essay)
- Leadership in a Changing Environment (MBA502) (500 words+2500 word essay)
- Sustainable Business (MBA506) (Video presentation)
- Budgeting and Financial Control (MBA510) (Portfolio)
- Data for Decision Making (MBA511) (Exercises based on a dataset)
- Business Research Methods (MBA514) (Timed Exam 2.5 hours)
- Business Analytics (MBA505) (Portfolio of series of set exercises)
- Contemporary Issues in Marketing (MBA503) (Literature review 500 words + 2500 words)
- Strategy and Management (MBA507) (Strategic analysis)
- Research Proposal (MBA512) (Research Proposal)
- Management Investigation (MBA555) (Opt1: Org consultation-consultation project report, Opt2: Data Collection and analysis-dissertation report)
| MBA Module | Data Analytics | Fintech |
|---|---|---|
| Budgeting and Financial Control | X | X |
| Leadership in a Changing Environment | X | X |
| Project Management | X | X |
| Strategy Management | X | X |
| Data for Decision Making | X | X |
| Management Investigation | X | X |
| Contemporary Issues in Marketing | X | - |
| Business Analytics | X | - |
| Management Investigation | X | - |
| Global People Management | - | X |
| Fintech and Disruption | - | X |
| Sustainable Business | - | X |
| Research Methods | X | X |
| Business Research Proposal | X | X |
MSc Computer Science with Artificial Intelligence
Modules
- Management Investigation (HEP501) (Weekly quizzes and tasks 30%, Project 70%)
- Networking (HEP506) (Weekly quizzes and tasks 30%, Project Report 1000 words)
- Data Structures and Algorithms (HEP503) (Weekly quizzes and tasks 30%, Project 70%)
- Databases (HEP505) (Weekly quizzes and tasks 30%, Project DB design and 1000 word report 70%)
- Web Development (HEP504) (Weekly quizzes and tasks 30%, Project 70%)
- Emergent Technologies (HEP508) (Weekly quizzes and tasks 30%, Project 70%)
- Research Methods (HEP?510) (Quizzes, journal, discussion board 30%, 2-hour open book exam 70%)
- Human Factors (HEP509) (Weekly quizzes and tasks 30%, Project Report 2500 words)
- Artificial Intelligence (HEP502) (Weekly quizzes and tasks 30%, Project 70%)
- Research Proposal (HEP511) (Weekly quizzes and tasks 30%, Research Proposal 2500 words 70%)
- Masterβs Project (HEP512) (Portfolio 8000 words)
| MSc CompSci Module | Data Analytics | Artificial Intelligence |
|---|---|---|
| Fundamentals of Computing | X | X |
| Data Structures and Algo | X | X |
| Web Development | X | X |
| Databases | X | X |
| Networking | X | X |
| Emergent Technologies | X | X |
| Human Factors | X | X |
| Data for Decision Making | X | - |
| Artificial Intelligence | - | X |
| Research Methods | X | X |
| Research Proposal | X | X |
| Masterβs Project | X | X |