
BSc Modern Computer Science (Data Science and AI)
Online
DURATION
2 up to 3 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest startdate
TUITION FEES
EUR 2,250 / per semester
STUDY FORMAT
Distance Learning
Introduction
Dive into the fascinating world of data science and artificial intelligence with our BSc Modern Computer Science program. This track is designed for students eager to explore cutting-edge technologies and harness the power of data to drive innovation. Through a blend of theoretical knowledge and hands-on experience, students will master essential concepts in data analysis, machine learning, and predictive modeling. With a curriculum tailored to meet industry demands, graduates will emerge equipped with the skills to tackle complex data challenges and make data-driven decisions that shape the future.
EU Accredited Institution
OPIT is a fully accredited Higher Education Institution under the European Qualification Framework (EQF) and the MFHEA Authority (Malta Qualification Framework – MQF – License number n.005-2023). The Program is fully accredited
Admissions
Curriculum
The Bachelor’s is structured with 5 Terms of courses and 1 final Term for the dissertation/project. In Term 5, you will choose 5 elective courses out of 13, based on your interests. Every Term lasts 13 weeks:
- Autumn term: mid-September to mid-December – Terms 1 and 4
- Spring term: mid-January to mid-April – Terms 2 and 5
- Summer term: mid-May to mid-August – Terms 3 and 6 (only for fast track)
First Term
- Technical English
- Computer Networks
- Programming Principles
- Computer Architectures
- ICT Fundamentals
Second Term
- Foundational Mathematics
- Web Development
- Introduction to Operating Systems
- Data Structures and Algorithms
- Project Management and QA
Third Term
- Introduction to Databases
- Cloud Computing Infrastructure
- Programming Paradigms
- Introduction to Artificial Intelligence
- Business Strategy
Fourth Term
- Introduction to Software Engineering
- Introduction to Machine Learning
- Cloud Development
- Digital Marketing
- Introduction to Computer Security
Fifth Term (Electives)
- Cybersecurity
- Parallel and Distributed Computing
- Reinforcement Learning
- Machine Learning
- Complex Networks and their Applications
- Computer Vision
- Cloud Computing Automation and Ops
- Front-end Programming
- Mobile Programming
- Software Engineering
- Ethics of Computer Science and AI
- Agile Development and DevOps
- Game Development
Sixth Term
- Dissertation
Program Tuition Fee
Career Opportunities
Whether you are a working professional who wants to reskill or a high-school graduate who seeks a future career in Computer Science, this program is right for you. Career prospects:
- Software Developer & Engineer
- Data Scientist
- Web Developer
- App & Game Developer
- IT Business Analyst
- Cyber security Analyst
- Database Architect
- DevOP
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.