Would you like a flexible postgraduate degree covering Big Data, Fintech, Automation, Creative Technologies or Automated Vision? Our M.Sc. AI is a 4 semester part-time degree which means that you can achieve it in slightly over a year. Since we are aware that some of you work, all of our lectures are held after 17:00 and are distributed over three evenings per week. The taught modules are held in the first two semesters and the thesis is concentrated in the last two semesters. Even though we offer the five streams mentioned earlier, the course is flexible enough to allow you to mix-and-match modules. E.g. you can take modules from the Big Data Stream combined with the Fintech Stream or any other combination you prefer. We understand that sometimes, commitments are overwhelming and it would be impossible for you to pursue an MSc. Don’t despair! We are also offering our MSc modules as individual short courses. So if you’re interested in only one module out of the whole MSc, you can do just that. If you want to do two or more, you’re free to do so. When you achieve at least 6 modules (within a maximum span of 5 years), you can then enroll in our MSc and just do the thesis. Using such a model we are offering you maximum flexibility which adjusts to your personal requirements. Furthermore, if you are carrying out a research project at work, we are also offering a Full-Time MSc AI which allows you to combine your work effort with your studies under the supervision of our lecturers and in collaboration with the organization you work for. Thus attaining the best of both words, the commercial aspect combined with scientific rigour. Our degrees can also be sponsored via government and EU schemes. For further details, please have a look at the following https://myscholarship-apply.gov.mt If you’re interested, please feel free to send us an email on ai@um.edu.mt

1. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
The Postgrad Open Evening
Prof Alexiei Dingli - HOD

2. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Head of Department: Prof Alexiei Dingli
Associate Professor: Prof Matthew Montebello
Senior Lecturers: Dr Christopher Staff
Lecturers: Dr Charlie Abela, Dr Joel Azzopardi, Dr Vanessa Camilleri, Dr Claudia Borg
Assistant Lecturers: Mr Kristian Guillaumier, Mr Dylan Seychell
Executive Officer: Ms Francelle Scicluna

3. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Master of Science in Artificial Intelligence
• 1yr (Full-Time), 1yr 4m (Part-Time), 5yr (Flexible)
• All lectures held after 5 pm and in the first two semesters
• More than 20 units to choose from and you can Mix’n’Match
Applied Machine Learning
Research Topics in AI
Artificial
Vision
Stream
Big Data
Stream
Automation
Stream
Fintech
Stream
Creative
Technologies
Stream
Dissertation
Placement
Part Time Full Time

4. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
The Program (Part Time - 4 Semesters)
Applied Machine Learning (5 ECTS)
Research Topics in AI (5 ECTS)
Dissertation (60 ECTS)
Unit 1 (5 ECTS)
Unit 2 (5 ECTS)
Unit 3 (5 ECTS)
Unit 4 (5 ECTS)
Semester1Semester2Semester
3&4

5. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
The Program (Full Time - 3 Semesters)
Research Topics in AI (5 ECTS)
Dissertation (60 ECTS)
Placement (25 ECTS)
Semester1Year
• Collaboration with Industry is a must

6. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
The Short Courses
Applied Machine
Learning
Research Topics
in AI
Intelligent Image
and Video
Analytics
Semester1Semester2
Mining and
Visualizing Large-
Scale Data
Advanced
Intelligent
Interfaces
Applied Robotics
and Automation
Financial
Engineering
Big Data
Processing
Deep Learning
for Artificial
Vision
Applied Natural
Language
Processing
Statistics for
Data Scientists
Enterprise
Knowledge
Management
Research Topics
in Creative
Technologies
Research Topics
in NLP
Internet of
Things
Intelligent
Algorithmic
Trading
• The University reserves the right not to offer a unit if less than 5 people choose it
• A student can attend a maximum of 3 units per academic year
• A student can request exemption from these units if he decides to read for an MSc AI degree (within a 5 year period)

7. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
MSc AI Entry requirements
• English Proficiency
• Any of the following
• Bachelor of Science in Information Technology (Honours) (2nd Upper)
• Bachelor of Science (Honours) in Computing Science or in Computer Engineering (2nd
Upper)
• Bachelor of Engineering (Honours) in an ICT related area of study
• Honours degree with a strong ICT component (which the Board deems comparable)
• Third Class Honours degree in an ICT related area of study together with a professional
qualification/s or experience as evidenced by a substantial portfolio of recent works,
deemed by the University Admissions Board to satisfy in full the admission
requirements of the Course

8. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
MSc AI Entry requirements
• If you have an ICT undergraduate degree but you did not cover AI topics
• The admission board might ask you to
• Follow three Short Course
• If you pass, you will be allowed to start the MSc AI degree
“(5) Eligible applicants in terms of sub-paragraphs (a) to (f) of paragraph (1) of
this bye-law may register as visiting students for individual study-units, as
directed by the Board, and obtain credit for them. Should applicants be accepted
to join the Course within 5 years from following the first study-unit, the Board
may allow the transfer of credits to the
student’s academic record for the Course in lieu of comparable units
in the current programme for the Degree.”

9. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
MSc AI Entry requirements
• If you do not have an ICT undergraduate degree
• The admission board might ask you to
• Follow three Short Course
• If you pass, you will be allowed to start the MSc AI degree
• But you cannot get exemption from those three units
“(g) any other Honours degree with at least Second Class Honours,
provided that applicants would have successfully completed at least three
individual study-units offered, and as directed by, the Faculty of Information and
Communication Technology, prior to applying for the Course.”

10. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Costs
MSc A.I. Part-time (4 semesters) - https://tinyurl.com/MScAI-UOM
Local/EU/EEA Applicants:
Total Tuition Fees: Eur 5,700
Non-EU/Non-EEA Applicants:
Total Tuition Fees: Eur 13,400
MSc A.I. Full-time (3 semesters) - TBA
Short Courses - TBA
Local/EU/EEA Applicants: €425
Non-EU/Non-EEA Applicants: €1,125
https://myscholarship-apply.gov.mt

11. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
How to apply?
http://www.um.edu.mt/apply

12. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY

13. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
THANK YOU!
Questions?
* Please note that the information provided in this presentation might change, so it is recommended
to check the official University website

14. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
BIG
DATA

15. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Big Data/ Data Science

16. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Machine
Learning
Big Data
Processing
Statistics 4
Data
Scientists
Mining &
Visualising
Large-scale
data
Research
Methods
Enterprise
Knowledge
Graphs
Thesis
Natural
Language
Processing
Concurrent
&
Distributed
Systems

17. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
• Some of the Themes
– Predictive Maintenance
– Visual Inspection of micro-devices
– Traffic congestion analyses
– Knowledge Graphs
– Blockchain for Health
– Chemoinformatics/Bioinformatics
– Sentiment analysis

18. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY

19. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Market demand for Fintech Experts
*PWC Global Survey Report (2017) - Financial Sector

20. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Fintech Stream – Financial Engineering
1. Time value of money + Risk Free Assets
2. Risky Assets and Derivatives
3. Risk + Volatility
4. Portfolio Theory + Management
5. Univariate and Multivariate Regression
6. Stochastic processes + HMM
7. Clustering and PCA
8. Time Series Models and Data Mining
9. Cryptocurrencies & Blockchain

21. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Fintech Stream – Intelligent Algorithmic Trading
1. Market Microstructure
2. Technical Analysis
3. Using Machine Learning for Algorithmic Trading
4. Algorithmic Trading Strategies
5. Gradient and non Gradient based Optimisation
6. Fuzzy Logic
7. Recurrent Neural Networks
8. Sentiment Analysis for Algo Trading

22. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
AUTOMATION

23. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
• The central theme of this stream is ROBOTICS
ØApplied Machine Learning
ØApplied Robotics and Automation
ØDeep Learning for Artificial Vision
ØApplied Natural Language Processing
ØInternet of Things
ØStatistics for Data Scientists

24. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
• Applied Robotics and Automation
• Hardware and Software components
• Control Systems, embedded systems, control
logic, sensors …
• Applications: industry, health, military
DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
• Applied Robotics and Automation
• Hardware and Software components
• Control Systems, embedded systems, control
logic, sensors …
• Applications: industry, health, military

25. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
• Deep Learning for Artificial Vision
• Object detection
• Facial recognition
• CNNs, RNNs, architectures
• Datasets
• Practical applications

26. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
• Applied Natural Language Processing
• Looking at data from a language perspective
• Sentiment analysis
• Speech Processing
• Question-Answering, Dialogue Systems
• Summarisation
• Generation – image captions, creativity

27. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
• Internet of Things
• Embedded Systems - programming devices
• Cloud for IoT
• Pervasive and mobile computing
• Distributed Stream Processing Systems –
Handling real-time data
• Wireless Sensor Networks,
resource limitations

28. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
• Statistics for Data Scientists
• Foundational stuff for an AI/ML course
• Theoretical: Statistics, probability, hypothesis
testing, Markov Chains, Inference…
• Application: Obtaining data, cleaning it,
manipulating it and Visualising it!

29. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
ARTIFICIAL VISION

30. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Augmented Reality

31. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Style Transfer through Deep Learning

32. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Object Detection & Recognition

33. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Google Cloud Vision API UoM Vision Project

34. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
What will
your
challenge
be?

35. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
CREATIVE
TECHNOLOGIES

36. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Project Areas
• AI-inspired applications for various mixed reality
applications - AR & VR
• AI-driven automation technology for design &
marketing
• AI-driven collaborative platforms supporting
cognitive computing in upskilling employees

37. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Walking in small shoes: Living Autism (VR)

38. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Morpheus: VR to
aid young cancer
patients

39. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Eye-tracking Art

40. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Augmenting Art

41. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
AR in
Public
Sculptures

42. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
Additional AI-driven Creative Ideas
• Development of AI-driven emotion
development and analysis for creative
industries;
• Cognitive computing: VR in mental health
simulations and practice for CPD

43. DEPARTMENT OF
ARTIFICIAL INTELLIGENCE
FACULTY OF INFORMATION AND
COMMUNICATION TECHNOLOGY
THANK YOU!
Questions?
* Please note that the information provided in this presentation might change, so it is recommended
to check the official University website