Duration
8 Months
Mode
Online
Intakes
September January May
Number of Content
8 Units + Thesis year
Tuiton
$17,000 you might be eligible
$8,450 with advance payment
$10,150 with installment
Course Overview
Learners will develop their ability to
Learning Outcomes
Develop a thorough understanding of the principles, theories and techniques related to computer science, and critically apply them to complex real-life problems, bringing sustainable innovation in a variety of sectors while using an interdisciplinary and intercultural approach
Critically reflect on the economic, societal, and organisational implications of computing techniques and applications
Appraise, analyse, and apply existing and new solutions in computer science, while understanding their limitations in a specific contextualised area
Confidently apply managerial and technical skills in an organisational context, showcasing the ability to form conscious decisions on digital and computing issues as related to the wider organisation.
Showcase creativity and innovation in a logical approach to tackling problems in computer science, to solve important issues in a work-related environment.
Professionally showcase analytical and problem-solving skills, as well as demonstrating high-level teamwork and communication skills to a technical and nontechnical audience
Present clear and effective projects on specific areas of computer science, including theoretical and technical knowledge acquired within the programme, in order to inform organisational strategy
Confidently perform project management-related tasks, showcasing leadership attributes and demonstrating the growth of technical skills.
Overall
The overall learning objective are
Career Opportunities
Primary areas of employment include
– Software Developer
– UX Designer
– Mobile App Developer
– Web Developer
– IT Project Manager
– Information Security Analyst
– Systems Architect
– AI Engineer
– Computer Hardware Engineer
– Video Game Developer
– Human – Computer Interaction
– Cloud Computing
– Computational Biologist
The Learning Outcomes Of The Diploma Are
Modules
- Fundamentals of Computer Science and Computational Thinking (15 credits)
- Databases and Algorithms (15 credits)
- Programming Lab or Software Lab (15 credits)
- Internet Technologies and the Cloud (15 credits)
- Networks (15 credits)
- Machine Learning (15 credits)
- Computer Architecture (15 credits)
- Project and Change Management for IT (15 credits)
Admission Requirement
- Passport or National ID
- Resume or CV
- Reference letter
- Personal Statement
- High School/Bachelor Transcript (English Translated)
- English Proficiency-Minimum requirements DUOLINGO 105/160 or IELTS 6.5/9 orTOEFL 80/120 or Cambridge English Placement Test CEPT) 40/50 etc.
Scholarship
Univaf offers a scholarship to all applicants up to %80.
Learn your scholarship eligibility.