Computing (Software Development) Foundation Degree FdSc
Course overview
| Qualification | Pre-U (Foundation, A-level, etc) |
| Study mode | Full-time |
| Duration | 1 year |
| Intakes | September |
| Tuition (Local students) | Data not available |
| Tuition (Foreign students) | $ 9,880 |
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Admissions
Intakes
Fees
Tuition
- Data not available
- Local students
- $ 9,880
- Foreign students
Estimated cost as reported by the Institution.
Application
- Data not available
- Local students
- Data not available
- Foreign students
Student Visa
- Data not available
- Foreign students
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Entry Requirements
- You'll need 160 UCAS tariff points.
- At least a Grade C in Maths at GCSE.
- All applicants must show that they have a good level of spoken or written English, and if English is not your first language you'll need to demonstrate the ability to study in English.
Note: Applicants who do not meet the standard entry criteria but have relevant work / life experience will be considered on an individual basis and may be invited to interview. More information about UCAS tariff points
Curriculum
- Reflective Practitioner
- Research Methods
- Introduction to Computerised Systems
- Programming Fundamentals
- Database Design and Application
- Web and Interface Development
- Logic & Implementation
- Programming Techniques
- Research Project
- Multimedia Development
- Object-based Programming
- Project Management Principles
- G.U.I. Design and Development
- Internet Programming
- Work-Based Learning
- Advanced Programming with Object Oriented Methods