Master of Science in Operations Research

Master of Science in Operations Research

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Course information

Course title Master of Science in Operations Research
Course code PMSCOPRFTR8
Postnominal M.Sc.(Melit.)
Level of qualification Second Cycle
National Qualifications Framework level Level 7
Duration 3 Semesters
Mode of attendance Full-time (by Research)
Total ECTS credits 90
Coordinator Maria Kontorinaki
Delivered by Faculty of Science
This programme of study is also offered on a part-time basis. Please consult the Registrar’s website for more information pertaining to courses offered by the University.

The programme of studies for MSc in Operations Research, as part of the masters degree offerings by the Department of Statistics and Operations Research has been designed as a continuation in advanced studies in Probability, Statistics and Operations Research. The MSc course ranges widely over a large number of advanced topics in the main areas. The structure of the course centres around a dissertation in which theory and application come together in a logically coherent manner, complementing one another in the process of mastering a repertoire of mathematical, computational and statistical techniques. The acquired skills are assembled into a plan for solving problems originating within various applications. We also accept dissertations which are of a more theoretical bent provided the level of the mathematics involved is of a sufficient level. Once a plan for dissertation has been formulated, three supporting study units are selected to help the student acquire the techniques and theoretical underpinnings of relevant areas at a sufficiently deep level.

Selection of study-units and dissertation construction are contemplated with the following considerations in mind:

• Student background skills ( or lack of them ) in relevant areas
• A target of proficiency which involves mathematical and logical rigour
• A full appreciation of the support which the chosen subjects provide within the areas the student is working on
• Awareness of current advances in all relevant subjects
• Proficiency with reference to the various computational issues encountered

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The Course shall be open to applicants in possession of one of the following qualifications:

(a) the degree of Bachelor of Science with at least Second Class Honours in an area of study deemed by the Board to be relevant to the proposed area of study and obtained in the 10 years previous to registration for the Course or

(b) the Bachelor of Science with Third Class Honours in an area of study deemed by the Board to be relevant to the proposed area of study and obtained in the 10 years previous to registration for the Course, provided that the applicants have obtained other qualifications, including relevant experience, following their first cycle degree. The Board may, at its discretion, require such applicants to follow a preparatory programme as specified below.

The Board, at its discretion, may also recommend the admission of applicants in possession of a Bachelor of Science with at least Category II in an area of study deemed by the Board to be relevant to the proposed area of study and obtained in the 10 years previous to registration for the Course, provided that the admission of such applicants shall be made conditional on the result of an interview and in such cases they shall be required to follow a preparatory programme as specified below.

The Board, at its discretion, may also recommend the admission of applicants with a first cycle degree deemed by the Board to be relevant to the proposed area of study and obtained in the 10 years previous to registration for the Course, provided that the admission of such applicants may be conditional on the result of an interview and in such cases they may be required to follow a preparatory programme as specified below.

Applicants whose first degree was obtained more than 10 years previous to registration for the Course may also be admitted following an interview to ascertain their capability to follow the Course. The Board may, at its discretion, require such applicants to follow a preparatory programme as specified below.

Preparatory Programme

The preparatory programme shall comprise study-units to which not less than 30 credits and not more than 60 credits are assigned and shall also be governed by the Principal Regulations.

Students shall be required to successfully complete the preparatory programme with an average mark of 55% or better prior to their registration for the Course.

The admission requirements are applicable for courses commencing in February 2020.

For more detailed information pertaining to admission and progression requirements please refer to the bye-laws for the course available here.

UM currently hosts over 1,000 full-time international students and over 450 visiting students. The ever-increasing international students coming from various countries, in recent years, have transformed this 400-year old institution into an international campus.

Our international students generally describe Malta as a safe place, enjoying excellent weather and an all-year varied cultural programme. Malta is considered as the ideal place for students to study.

You can compare your national qualifications to the local requirements by visiting our qualifications comparability webpage.

Access more information about our admission process and English language requirements.

After you receive an offer from us, our International Office will assist you with visas, accommodation and other related issues.

Local/EU/EEA Applicants: Annual Enrolment Fee: Eur 400

Non-EU/Non-EEA Applicants: Total Tuition Fees: Eur 13,400
Yr 1: Eur 13,400 - Yr 2: NIL
• To enhance and widen the experience of dealing competently with the notions of uncertainty and randomness in a logically valid and mathematically sophisticated way.
• To be able to identify probabilistic, statistical and/or operations research contexts within practical problems, and subsequently to produce correct formulations.
• To become fluent and confident in accessing and consulting research work, including sophisticated theoretical constructs, in the pursuit of devising solutions for problems of a quantitative nature.
Various individuals in employment have registered for our MSc course with the aim of enhancing their career prospects and competence in their work output. In particular we mention graduates at various stages of their career in the following places:

• Statisticians/Mathematicians employed as educators, academics or researchers
• Employees, managers of the National Statistics Office
• Employees, managers with various government departments and authorities (e.g. NAO, MFSA, Central Bank, MFSS, Communications Authority)
• Employees, managers within the Finance industry (e.g. banks, insurance, investment)
• Employees, managers within Manufacturing companies
• Employees, managers within the Airline industry
• Employees, managers within Communications industry
• Employees, managers within Lottery and Betting companies

The course also gives a strong base for pursuing further doctoral studies and research positions, both at the University of Malta and overseas.
Click here to access the Programme of Study applicable from 2019/0 and click here for entry points.

Last Updated: 14 November 2019

The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
Unless for exceptional approved reasons, no changes to the programme of study for a particular academic year will be made once the students' registration period for that academic year begins.

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