Semester 1

• Digital Fabrication (10 ECTS)
• Theory and Evolution of Computational Design (10 ECTS)
• Computational Design Processes (10 ECTS)

Semester 2

• Robotic Fabrication (10 ECTS)
• Interactive Design (10 ECTS)
• Performance Based Design (10 ECTS)

Semester 3

• Research Methodology in Design and Technology (10 ECTS)
• Thesis (20 ECTS)

The above semester breakdown is an indicative one. A few of the courses are electives and can be substituted by others. 

The MSc in Computational Design and Digital Fabrication is offered in collaboration with the University of Innsbruck, Institute for Experimental Architecture Hochbau. The programme explores the relationship between computational tools and architectural design, in an effort to attain a new insight into the relationship between design intent and built form. Prospective participants will have the opportunity to develop computational design skills and acquire hands on cutting-edge fabrication experiences, while cultivating analytical and creative thinking on the applications of computation in design. Furthermore, the programme aims at promoting international exchange of research knowledge, through the connection to the University of Innsbruck and its Robotic Lab (REXLAB) at the Institute for Experimental Architecture. This encourages participants to become part of the global community of computational research in digital fabrication, a growing industry increasingly important for the production of the built environment.

Semester 1

• Data Programming  (10 ECTS)
• Mathematics for Data Science   (10 ECTS)
• Data Privacy and Ethics  (10 ECTS)

Semester 2

• Machine Learning  (10 ECTS)
• Managing and Visualizing Data  (10 ECTS)
• Research Seminars and Methodology (4 ECTS)
• Project in Data Science   (6 ECTS)

Semester 3 (Non-Thesis Option)

• Deep and Reinforcement Learning  (10 ECTS)
• Big Data Management and Processing  (10 ECTS)
• Artificial Intelligence  (10 ECTS)

Semester 3

• Thesis  (30 ECTS)

The above semester breakdown is an indicative one. A few of the courses are electives and can be substituted by others. 

The aim of this program is to provide the students with advanced technical skills and a scientific understanding of Data Science. Moreover, the MSc will aid students in developing research competency so they can design their own scientific methods pushing the frontiers of this new emerging field. Finally, special emphasis is given to the development of skills that are required by the relevant cutting-edge industries.

Data Science is an applied science providing innovations and disrupting multiple industries ranging from Information and Communication Technologies and Medicine, to Journalism and Finance. The University of Nicosia has developed partnerships with instructors from the industry and this will enable the development of skills that are currently required by the industry. The MSc will develop full-stack research data scientists that are able to collect requirements, innovate, design, implement and critically evaluate a data science solution.

More specifically, the program aims at:

1. Providing students with the technical and analytical skills required for acquiring, managing, analyzing and extracting knowledge from heterogeneous data sources. Critical skills will be developed that aid students in making decisions on the appropriate data analysis pipeline. Students will be able to collect requirements, design, implement and evaluate a data science solution.
2. Providing students with software engineering and machine learning skills to design and implement scalable, reliable and maintainable solutions for data-oriented problems.
3. Enabling students to develop data programming skills for multiple business domains and possible challenges (Big Data, Streaming Data, Noisy Data, etc.).
4. Enabling students to assess and provide solutions for the privacy and ethical issues that arise at the application of data science methods to many real-world problems.
5. In collaboration with instructors from the industry, the student will be aware of the challenges that a professional comes across when moving from theory to practice and know how to overcome these challenges.
6. Giving the opportunity to the student to work in real world problems with real data in collaboration with industrial partners. Students will gain hands-on experience with the state-of-the-art data science technologies like Deep and Reinforcement learning.
7. Preparing students to pursue a PhD in data science or to any other field where data science skills are required (e.g. bioinformatics, computational social science, data driven journalism, etc.)
8. Providing students with a strong sense of social commitment, global vision and independent self-learning ability.

Semester 1

• Petroleum Geolgy
• Drilling Engineering
• Geophysical Methods
• Energy Efficiency

Semester 2

• Reservoir Engineering
• Well Engineering
• Oil and Gas Transport Networks
• Petroleum Refining Processes

Semester 3

• LNG Systems
• Production Engineering
• Health, Safety and Risk Management
• Environmental Impact Assessment

Aims

The aims of the MSc in Oil, Gas and Energy Engineering are to:

1. Prepare graduate students to succeed in a constantly growing, demanding, and highly competitive technological world;
2. Provide specialization and extensive knowledge on the area of oil and gas energy engineering;
3. Create an academic environment conducive to learning new oil and gas energy engineering concepts and technologies;
4. Introduce graduate students to research on advanced oil, gas and energy engineering topics;
5. Cultivate analytical skills and critical thinking;
6. Promote engineering ethics and moral practices.

Objectives

The objectives of the programme are to:

1. Provide specialized advanced knowledge and tools to our graduates in order to cope successfully in a technologically challenging environment;
2. Facilitate learning in areas of oil, gas and energy engineering that are directly linked to industry and current state-of-the-art technology;
3. Provide the theoretical and computational skills necessary for the solution of both theoretical and practical engineering problems;
4. Provide practical and experimental hands-on experience that allows the students to link directly to fundamental knowledge and theory;
5. Prepare graduates to work alone or in groups in order to provide engineering solutions;
6. Prepare graduates to design/implement systems and processes towards the solution of engineering problems;
7. Promote research, develop research skills and provide fundamental knowledge to support a successful career in research and development;
8. Develop the ability of the graduates to write technical reports and scientific papers as well as to present their work before an audience;
9. Provide the graduates with the opportunity to develop a greater technical competence in their area and become successful professionals throughout their lifetime;
10. Prepare graduates so that they may be admitted to and successfully complete a PhD program in Oil, Gas and Energy engineering or related fields.

Career Prospects

This field offers very good career opportunities. Energy consumption grows steadily around the world, and investments in drilling and exploitation of energy resources, in particular gas and oil, are anticipated to continue strong. Thus, the global employment outlook is promising. It is further expected that the discovery of oil and gas in the Cyprus Exclusive Economic Zone will prompt the establishment of new companies and operations with an increasing number of job opportunities. Graduates of the Master’s program can be employed in a number of sectors including off-shore exploration, product refineries, on-shore liquefying natural gas (LNG) terminal, chemical manufacturing industries and research.

Access to Further Studies

Graduates of the programme have direct access to 3rd cycle studies (PhD), in this or a related field, at the University of Nicosia or other institutions in Cyprus, the EU and the USA/Canada.