Digital Management -and Data Analysis
What will you learn?
The master’s programme in Digital Management and Data Analysis equips graduates with cutting-edge, interdisciplinary expertise that is highly sought after across industries. This innovative programme – a collaboration between the faculties of business and computer science – offers flexibility, allowing students to tailor their studies to their interests through courses covering management, system analysis and design, data theory and analysis, machine learning and AI.
Designed for those seeking a dynamic and future-oriented career, this programme provides a deep understanding of how information technology drives value creation. Students can gain hands-on experience with machine learning techniques for identifying patterns, building profiles, and developing predictive models. The curriculum also covers business intelligence and analytics, design and implementation of information and ERP systems. It prepares graduates to effectively and ethically manage company data and commercial strategies to create value across sectors and organisations.
Cross-disciplinary focus
This master´s programme results from a collaborative effort between management and computer science faculties. The curriculum combines mandatory and elective courses in management, computer science, and engineering offered by three university departments: The Department of Business and Economics, the Department of Computer Science, and the Department of Engineering.
A choice between two paths
Students can choose between a programme structure leading to a Master of Science (MSc) in Digital Management and Data Analysis and a structure leading to a postgraduate qualification (MDMD). Both structures require 90 ECTS credits. The curriculum can be completed in three terms, with full-time study in the autumn, spring, and summer.
MSc degree
Students finish 60 ECTS credits in courses according to the programme structure and a 30 ECTS-credit master’s thesis.
Postgraduate qualification (MDMD)
Students finish 90 ECTS credits in courses according to the programme structure and can take an internship of up to 15 ECTS credits.
How will I learn?
Traditional classroom learning
Master's programmes in the Department of Business and Economics are on site.
Global expertise in English
Courses are conducted in English by both Icelandic and international specialists, offering students a global perspective on the material.
Organisation of teaching
The Department of Business and Economics courses are offered in two formats: as intensive modules with full-day sessions spanning two to four consecutive days or as weekly classes. Classes may be scheduled in the afternoon and on Saturdays.
Courses in the Department of Computer Science and the Department of Engineering are offered in an intensive 3-week period or as weekly classes.
Assessment
Courses feature a combination of assessment components, including group projects, individual assignments, and written or oral exams. Students may expect assignments and exams to occur outside of classroom hours, with final assessments typically completed shortly after each course concludes.
Internship
Students may pursue internships instead of elective courses, earning 7,5 or 15 ECTS credits. Each student is assigned a supervisor from the host company or institution and a faculty advisor for the duration of the internship. Internships are especially beneficial for students with limited work experience or those aiming to use their studies to explore new career opportunities.
*For further information, see the Guidelines for Internships in Master's Programmes.
What next?
Future prospects
Digital management and data analysis are critical in all contemporary sectors and industries. Data-driven approaches facilitate operations and decision-making, provide businesses with a competitive advantage, and ensure their ability to adapt to rapid change. Students who complete this master's programme are uniquely situated to develop, design and utilise digital systems and data in various organisations to make them more innovative, competitive and effective.
Upon completion of their studies, students should be able to:
- Analyse, implement and maintain business-oriented developments and changes in information systems
- Design and implement new business processes
- Design and implement synchronous information arrangements
- Identify the links between information technology, digital management and decision support
- Define practical requirements for digital systems.
- Analyse industry-related topics and trends through data collection to identify new opportunities
- Manage inputs and processes related to developing digital systems within the workplace
- Work independently and systematically, set goals, plan, and present solutions to various problems
- Carry out a cost analysis and plan for projects related to digital systems
- Manage IT projects and ensure their quality and results
- Develop their ideas and shape them
Area of work
Graduates of Digital Management and Data Analysis take on diverse roles, including becoming information managers at companies and public institutions or project managers of digital transformation projects and implementations. Others become IT consultants or sales personnel or do advanced data analysis in the context of different organisational functions, enhancing efficiency and effectiveness or spotting new opportunities.
Structure
Programme structure
Length of study
14 months (three terms).
Terms
- Autumn: August to December
- Spring: January to May
- Summer: May to September
Maximum study period
The programme structure is based on full-time study but students have the opportunity to study part-time. The maximum study period is two years (six terms).
Choice between two paths
Students can choose between a programme structure leading to a Master of Science (MSc) in Digital Management and Data Analysis and a structure leading to a postgraduate qualification (MDMD). Both structures require 90 ECTS credits. The curriculum can be completed in three terms, with full-time study in the autumn, spring, and summer terms.
MSc degree
Students finish 60 ECTS credits in courses according to the programme structure and a 30 ECTS credit master‘s thesis.
Postgraduate qualification (MDMD)
Students finish 90 ECTS credits in courses according to the programme structure and have the opportunity to take an internship of up to 15 ECTS credits.
Note
- Students can complete internships for a maximum of 15 ECTS credits instead of electives.
- The curriculum provides more information about the courses.
MSc
Autumn
- V-712-STJO Strategic Management (7,5 ECTS)
Choose 3 of 5:- V-746-ENAR Enterprise Architectures (7,5 ECTS)
- V-732-DIGI Digital and Information System Management (7,5 ECTS)
- T-711-FOML Fundamentals of Machine Learning (8 ECTS)*
- T-750-SMAC Statistical modelling & computation (6 ECTS)*
- Elective (7,5 ECTS)
*Basic knowledge of Python is assumed
Spring
- V-716-BPMA Business Process Management (7,5 ECTS)
- V-714-BETH Business Ethics (3,75 ECTS)
- V-784-REK5 Business Intelligence and Analytics (7,5 ECTS)
- V-819-TEMT Topics in Emerging Technologies (3,75 ECTS)
- V-765-REM1 Business Research Methodology 1 (3,75 ECTS)
- V-825-REM2 Business Research Methodology 2 (3,75 ECTS)
- V-898-REPR Research Proposal (0 ECTS)
Summer
- V-898-THES Thesis (30 ECTS)
MDMD
Autumn
- V-712-STJO Strategic Management (7,5 ECTS)
Choose 3 of 5:- V-746-ENAR Enterprise Architectures (7,5 ECTS)
- V-732-DIGI Digital and Information System Management (7,5 ECTS)
- T-711-FOML Fundamentals of Machine Learning (8 ECTS)*
- T-750-SMAC Statistical modelling & computation (6 ECTS)*
- Elective (7,5 ECTS)
*Basic knowledge of Python is assumed
Spring
- V-716-BPMA Business Process Management (7,5 ECTS)
- V-714-BETH Business Ethics (3,75 ECTS)
- V-784-REK5 Business Intelligence and Analytics (7,5 ECTS)
- V-819-TEMT Topics in Emerging Technologies (3,75 ECTS)
- Elective / Internship (7,5 ECTS)
Summer
- Elective / Internship (7,5 ECTS)
- Elective / Internship (7,5 ECTS)
- Elective (7,5 ECTS)
- Elective (7,5 ECTS)
Facilities
Services and Good Facilities
Reykjavik University has facilities for practical teaching, group study rooms, a canteen, study and career counselling, and other student services.
Class Rooms and Reading Rooms
Reykjavík University has outstanding facilities for teaching, reading, and student collaboration. The classrooms are well-equipped, and students can use group work areas. Students have access to general facilities all day and night.
Excellent Service
The university facility offers easy access to study and career help, an international office, and technical aid. The library provides excellent and diverse working facilities. It also provides access to books and scholarly publications, and information specialists host open hours during which students can browse around, ask questions, and obtain assistance with reference work.
Shops and Cafe
RU facilities include the Háskólabúðin (convenience store), a cafe, a World Class training facility, and the Málið canteen.
Why choose our master’s programmes?
- Accelerated timeline: Earn your master’s degree in just 14 months with our full-time study programme.
- Exceptional internship opportunities: Gain hands-on experience with industry-leading organisations.
- Global expertise: Learn from both national and international specialists, offering a diverse and global perspective.
- Industry-aligned curriculum: Designed in collaboration with leading Icelandic firms, the programmes address both local and global business challenges.
- Courses delivered in English: All programmes are delivered in English, except Accounting and Auditing.