Transform your future with a globally recognized degree

The course teaches students comprehensive and specialised subjects in entrepreneurial leadership and management for various business situations; it develops skills in critical thinking and strategic planning for changing and fast-paced environments, including financial and operational analysis; and it develops competences in leadership, including autonomous decision-making, and communication with employees, stakeholders, and other members of a business. These generalized MBA insights are firmly rooted in a curriculum focused on innovation, social entrepreneurship, finance, and technology. Specialised MBA programmes aims to refine the expertise in the specific field.

• Target Audience

  • Ages 19-30, 31-65, 65+

• Target Group

  • The course is suited for executives and general business managers in organisations of all sizes and types, or for those who will soon move into such management positions. It is designed for those that will have responsibility for planning, organising, and directing business operations. Some of the specific pathways will have associated audiences.

  • For example the MBA in International Business is suited for executives and general business managers, or aspirants to these roles, who work in organisations with global reach and need to enhance their understandings of internationalisation and cross-cultural aspects of work and business.

  • Similarly, the MBA in Technology Leadership is suited for business leaders at the forefront of digital and technological transformation in their organisations.

  • In all cases, the target group should be prepared to pursue substantial academic studies fitting to the MQF level.

• Mode of attendance

  • Full-Time and Part-Time

• Structure of the programme

  • Please note that this structure may be subject to change based on faculty expertise and evolving academic best practices. This flexibility ensures we can provide the most up-to-date and effective learning experience for our students.

• Full-Time: 50 Weeks, 1 Year, or 3 Semesters (2250 hrs at ~45 hrs/week)

  • Semester I (~17 weeks): Tier One Foundational modules (30 ECTS, 750 hrs) result in 1 semester of coursework (~45 hrs/week)

  • Semester II (~17 weeks): Tier Two Specialisation modules (30 ECTS, 750 hrs) result in 1 semester of coursework (~45 hrs/week)

  • Semester III (~17 weeks): Tier Three Capstone module (30 ECTS, 750 hours) results in 1 semester of coursework (~45 hrs/week)

• Part-Time: Up to 250 Weeks, 5 Years, or 15 Semesters (2250 hrs at <9 hrs/week)

  • Semester I (~17 weeks): Tier One Foundational module (3 ECTS, 75 hrs) at ~4.5 hrs/week

  • Semester II (~17 weeks): Tier One Foundational module (3 ECTS, 75 hrs) at ~4.5 hrs/week

  • Semester III (~17 weeks): Tier One Foundational module (3 ECTS, 75 hrs) at ~4.5 hrs/week

  • Semester IV (~17 weeks): Tier One Foundational module (3 ECTS, 75 hrs) at ~4.5 hrs/week

  • Semester V (~17 weeks): Tier One Foundational module (3 ECTS, 75 hrs) at ~4.5 hrs/week

  • Semester VI (~17 weeks): Tier One Foundational module (3 ECTS, 75 hrs) at ~4.5 hrs/week

  • Semester VII (~17 weeks): Tier One Foundational module (3 ECTS, 75 hrs) at ~4.5 hrs/week

  • Semester VIII (~17 weeks): Tier One Foundational module (3 ECTS, 75 hrs) at ~4.5 hrs/week

  • Semester IX (~17 weeks): Tier One Foundational module (3 ECTS, 75 hrs) at ~4.5 hrs/week

  • Semester X (~17 weeks): Tier One Foundational module (3 ECTS, 75 hrs) at ~4.5 hrs/week

  • Semester XII (~17 weeks): Tier Two Specialisation module (10 ECTS, 250 hrs) at ~15 hrs/week

  • Semester XIII (~17 weeks): Tier Two Specialisation module (10 ECTS, 250 hrs) at ~15 hrs/week

  • Semester XIV (~17 weeks): Tier Two Specialisation module (10 ECTS, 250 hrs) at ~15 hrs/week

  • Semester XV (~17 weeks): Tier Three Capstone module (30 ECTS, 750 hours) at ~45 hrs/week

• Grading System - Scale: 0-100 points - Components: 60% of the mark derives from the average of the assignments, and 40% of the mark derives from the cumulative examination - Passing requirement: minimum of 60% overall

• Dates of Next Intake - Rolling admission

• Pass rates - 2023 pass rates will be publicised in the next cycle, contingent upon ensuring sufficient student data for anonymization.

• Identity Malta’s VISA requirement for third country nationals: https://www.identitymalta.com/unit/central-visa-unit/

The degree teaches students comprehensive and specialised subjects in entrepreneurial leadership and management for various business situations; it develops skills in critical thinking and strategic planning for changing and fast-paced environments, including financial and operational analysis; and it develops competences in leadership, including autonomous decision-making, and communication with employees, stakeholders, and other members of a business. These generalized MBA insights are firmly rooted in a curriculum focused on innovation, social entrepreneurship, finance, and technology.

The programme joins some of the most reputable contemporary thinkers in psychoanalysis, to introduce different positions in the psychoanalytic landscape. Its aim is to create a dialogue between different understandings of psychoanalysis, apply psychoanalysis to problems beyond the individual subject and develop models of understanding the human mind in its interaction with the world beyond single psychoanalytic positions. This is achieved by not capitalising on any single figure in the psychoanalytic tradition and instead providing perspectives of classical and contemporary approaches to the understanding of psychoanalysis. These perspectives include, but are not limited to, Jungian, Freudian, Lacanian, Deleuzian, Winnecotian positions - interpreted by contemporary figures like Bruce Fink, Todd McGowan, Jamieson Webster and others. Additionally, the course explores the perspectives of contemporary non-Lacanian scholars such as Jeffrey Masson, Dylan Evans, Stuart Schneiderman, and Mikkel Borch-Jacobsen. The programme empowers students to understand psychoanalysis as a tool allowing a critical analysis of the human condition in its meanings and crises. United by this aim, the program navigates through topics such as the analysis of religious phenomena such as Daoism, Buddhism and Christianity; literature and film; clinical cases of the mind and the body, contemporary and historical political crises, classical metaphysical problems and possible future developments of psychoanalytic theory. Students are encouraged to apply the psychoanalytic paradigms introduced in the programme to tackle research questions of pressing relevance to the contemporary human condition.

The course teaches students comprehensive and specialised subjects in computer science; it teaches students cutting-edge engineering skills to solve real-world problems using computational thinking and tools. Most of this program is the case (or) project-based where students learn by solving real-world problems end to end. This program has core courses that focus on computational thinking and problem solving from first principles. The core courses are followed by specialization courses that teach various aspects of building real-world systems. This is followed by more advanced courses that focus on research-level topics, which cover state-of-the-art methods. The program also has a capstone project at the end, wherein students can either work on building end-to-end solutions to real-world problems (or) work on a research topic. The program also focuses on teaching the students the “ability to learn” so that they can be lifelong learners constantly upgrading their skills. Students can choose from a spectrum of courses to specialize in a specific sub-area of Computer Science like Artificial Intelligence and Machine Learning, Cloud and Full Stack Development, etc.

Target Audience

-  Ages 19-30, 31-65, 65+

• Target Group

  • This course is designed for individuals who wish to enhance their knowledge of computer science and its various applications used in different fields of employment. It is designed for those that will have responsibility for planning, organizing, and directing technological operations. In all cases, the target group should be prepared to pursue substantial academic studies. Students must qualify for the course of study by entrance application. A prior computer science degree is not required; however the course does assume technical aptitude; and it targets students with finance, engineering, or STEM training or professional experience.

• Mode of attendance

  • Online/Blended Learning

• Structure of the programme - Please note that this structure may be subject to change based on faculty expertise and evolving academic best practices. This flexibility ensures we can provide the most up-to-date and effective learning experience for our students.The Master of Science in Computer Science combines asynchronous components (lecture videos, readings, and assignments) and synchronous meetings attended by students and a teacher during a video call. Asynchronous components support the schedule of students from diverse work-life situations, and synchronous meetings provide accountability and motivation for students. Students have direct access to their teacher and their peers at all times through the use of direct message and group chat; teachers are also able to initiate voice and video calls with students outside the regularly scheduled synchronous sessions. Modules are offered continuously on a publicly advertised schedule consisting of cohort sequences designed to accommodate adult students at different paces. Although there are few formal prerequisites identified throughout the programme, enrollment in courses depends on advisement from Woolf faculty and staff.The degree has 3 tiers: The first tier is required for all students, who must take 15 ECTS. In the second tier, students must select 45 ECTS from elective tiers. Tier Three may be completed in two different ways: a) by completing a 30ECTS Advanced Applied Computer Science capstone project, or b) by completing a 10 ECTS Applied Computer Science project and 20 ECTS of electives from the program.

• Grading System

  • Scale: 0-100 points

  • Components: 60% of the mark derives from the average of the assignments, and 40% of the mark derives from the cumulative examination

  • Passing requirement: minimum of 60% overall

• Dates of Next Intake

  • Rolling admission

• Pass rates

  • 2023 pass rates will be publicised in the next cycle, contingent upon ensuring sufficient student data for anonymization.

• Identity Malta’s VISA requirement for third country nationals: https://www.identitymalta.com/unit/central-visa-unit/

  • Passing requirement: minimum of 60% overall

• Dates of Next Intake

  • Rolling admission

• Pass rates

  • 2023 pass rates will be publicised in the next cycle, contingent upon ensuring sufficient student data for anonymization. Identity Malta’s VISA requirement for third country nationals: https://www.identitymalta.com/unit/central-visa-unit/

The course teaches students comprehensive and specialised subjects in computer science; it teaches students cutting edge engineering skills to solve real-world problems using computational thinking and tools, as well as soft skills in communication, collaboration, and project management that enable students to succeed in real-world business environments. Most of this program is case (or) project-based where students learn by solving real-world problems end to end. This program has core courses that focus on computational thinking and problems solving from first principles. The core courses are followed by specialization courses that teach various aspects of building real-world systems. This is followed by more advanced courses that focus on research level topics, which cover state of the art methods. The program also has a capstone project at the end, wherein students can either work on building end to end solutions to real world problems (or) work on a research topic. The program also focuses on teaching the students the “ability to learn” so that they can be lifelong learners constantly upgrading their skills. Students can choose from a spectrum of courses to specialize in a specific sub-area of Computer Science like Artificial Intelligence and Machine Learning, Cloud Computing, Software

Engineering, or Data Science, etc.

The course teaches students comprehensive and specialised subjects in computer science; it teaches students cutting edge engineering skills to solve real-world problems using computational thinking and tools, as well as soft skills in communication, collaboration, and project management that enable students to succeed in real-world business environments. Most of this program is case (or) project-based where students learn by solving real-world problems end to end. This program has core courses that focus on computational thinking and problems solving from first principles. The core courses are followed by specialization courses that teach various aspects of building real-world systems. This is followed by more advanced courses that focus on research level topics, which cover state of the art methods. The program also has a capstone project at the end, wherein students can either work on building end to end solutions to real world problems (or) work on a research topic. The program also focuses on teaching the students the “ability to learn” so that they can be lifelong learners constantly upgrading their skills. Students can choose from a spectrum of courses to specialize in a specific sub-area of Computer Science like Artificial Intelligence and Machine Learning, Cloud Computing, Software Engineering, or Data Science, etc.

Target Audience

-  Ages 19-30, 31-65, 65+

• Target Group

  • This course is designed for individuals who wish to enhance their knowledge of computer science and its various applications used in different fields of employment. It is designed for those that will have responsibility for planning, organizing, and directing technological operations. In all cases, the target group should be prepared to pursue substantial academic studies. Students must qualify for the course of study by entrance application. A prior computer science degree is not required; however the course does assume technical aptitude; and it targets students with finance, engineering, or STEM training or professional experience.

• Mode of attendance

  • Online/Blended Learning

• Structure of the programme - Please note that this structure may be subject to change based on faculty expertise and evolving academic best practices. This flexibility ensures we can provide the most up-to-date and effective learning experience for our students.The Master of Science in Computer Science combines asynchronous components (lecture videos, readings, and assignments) and synchronous meetings attended by students and a teacher during a video call. Asynchronous components support the schedule of students from diverse work-life situations, and synchronous meetings provide accountability and motivation for students. Students have direct access to their teacher and their peers at all times through the use of direct message and group chat; teachers are also able to initiate voice and video calls with students outside the regularly scheduled synchronous sessions. Modules are offered continuously on a publicly advertised schedule consisting of cohort sequences designed to accommodate adult students at different paces. Although there are few formal prerequisites identified throughout the programme, enrollment in courses depends on advisement from Woolf faculty and staff.The degree has 3 tiers: The first tier is required for all students, who must take 15 ECTS. In the second tier, students must select 45 ECTS from elective tiers. Under the guidance of the Academic Staff at Woolf, students may either select exclusively from one specialization track (in which case they will earn that specialization), or they may mix tracks (in which case they will finish without a specialization). Tier Three may be completed in two different ways: a) by completing a 30ECTS Advanced Applied Computer Science capstone project, or b) by completing a 10 ECTS Applied Computer Science project and 20 ECTS of electives from the program.

• Grading System

  • Scale: 0-100 points

  • Components: 60% of the mark derives from the average of the assignments, and 40% of the mark derives from the cumulative examination

  • Passing requirement: minimum of 60% overall

• Dates of Next Intake

  • Rolling admission

• Pass rates

  • 2023 pass rates will be publicised in the next cycle, contingent upon ensuring sufficient student data for anonymization.

• Identity Malta’s VISA requirement for third country nationals: https://www.identitymalta.com/unit/central-visa-unit/

  • Passing requirement: minimum of 60% overall

• Dates of Next Intake

  • Rolling admission

• Pass rates

  • 2023 pass rates will be publicised in the next cycle, contingent upon ensuring sufficient student data for anonymization. Identity Malta’s VISA requirement for third country nationals: https://www.identitymalta.com/unit/central-visa-unit/

The course teaches students comprehensive and specialised subjects in entrepreneurial leadership and management for various business situations; it develops skills in critical thinking and strategic planning for changing and fast-paced environments, including financial and operational analysis; and it develops competences in leadership, including autonomous decision-making, and communication with employees, stakeholders, and other members of a business. These generalized MBA insights are firmly rooted in a curriculum focused on innovation, social entrepreneurship,

finance, and technology.

The course teaches students comprehensive and specialised subjects in computer science; it teaches students cutting edge engineering skills to solve real-world problems using computational thinking and tools, as well as soft skills in communication, collaboration, and project management that enable students to succeed in real-world business environments. Most of this program is case (or) project-based where students learn by solving real-world problems end to end. This program has core courses that focus on computational thinking and problems solving from first principles. The core courses are followed by specialization courses that teach various aspects of building real-world systems. This is followed by more advanced courses that focus on research level topics, which cover state of the art methods. The program also has a capstone project at the end, wherein students can either work on building end to end solutions to real world problems (or) work on a research topic. The program also focuses on teaching the students the “ability to learn” so that they can be lifelong learners constantly upgrading their skills. Students can choose from a spectrum of courses to specialize in a specific sub-area of Computer Science like Artificial Intelligence and Machine Learning, Cloud Computing, Software Engineering, or Data Science, etc.