Det matematisk-naturvitenskapelege fakultet (MN) – Faculty of Mathematics and Natural Sciences, University of Oslo

Business Profile

Core Value Proposition

Det matematisk-naturvitenskapelige fakultet (MN) provides Norges største realfaglige forskning- og utdanningsinstitusjon innen astrofysikk, biologi, farmasi, fysikk, geologi, informatikk, kjemi, matematikk, molekylær biovitenskap og teknologi.

Target Customer

{"Prospective students (Bachelor, Master, PhD)","Current students and staff","Researchers and faculty","Industry and research partners / collaborators"}

Key Differentiator

Norway’s largest realfag research and education institution with a broad range of disciplines and a large network of institutes and centers (e.g., Integreat, PHAB, CCSE, NNRC, SIRIUS, RoCS, dScience, KURT, CENSSS, INTED, etc.), and a partner in the national NORA AI consortium.

Implementation Timeline

PhD programs are structured for 3 years of full-time study, with a mandatory 30-credit training component and final completion via dissertation and disputation; PhD graduates obtain a degree through the Dr.philos pathway or equivalent, as described on the program page.

Pain Points

1Need for coherent, multidisciplinary study programs with both standard offerings and flexible options (free-form bachelor degrees).
2Need access to a wide network of research centers, institutes, and interdisciplinary collaboration across multiple fields.
3Need structured PhD training paths, funding, and clear outcomes (training credits, dissertation, and disputation).

Key Features

1Wide range of study programs at bachelor, master, and PhD levels, including Honours and certificate options.
2PhD training with 3 years of full-time study, a 30-credit training component, and completion via a scientific dissertation, public lecture, and disputation (Dr.philos pathway mentioned).
3Numerous institutes and centers under the faculty (e.g., Integreat, PHAB, CCSE, NNRC, SIRIUS, RoCS, dScience, KURT, CENSSS, INTED, etc.).
4Postgraduate resources and programs (e.g., PhD programs, postdoc portal, research schools).
5Regular research news, events, seminars, and disputations listed on pages.

Target Customer Industries

Decision Makers

1Professor
2Seksjonsleder (Section Leader)
3PhD student / PhD candidate
4Dr.philos (Doctor philosophiae, listed as degree pathway)

Client Results

13 years full-time PhD program duration
2PhD program includes a 30-credit training component
3Ends with a scientific dissertation, public trial lecture, and disputation
4The faculty has over 800 active PhD candidates and annually disputs more than 130 candidates

Competitive Advantages

1Breadth of disciplines and multidisciplinary collaboration across many institutes and centers
2Strong national and international networks via partnerships like the NORA AI consortium
3Structured PhD training and clearly defined degree outcomes (dissertation, disputation, etc.)
4Active community with seminars, disputations, and research events that promote knowledge sharing

Key Benefits

1Access to a wide array of study programs from bachelor to PhD

2Participation in multidisciplinary research through numerous centers and institutes

3Structured PhD training with clear outcomes and strong support networks

4Opportunity to engage with national AI and data science initiatives (NORA) and other research collaborations

5Regular scholarly events, seminars, and disputations that advance knowledge and career development

Additional Product Information

Product Description

A faculty offering extensive research and education across a wide range of natural and mathematical disciplines, with numerous institutes and centers, PhD training, and national/international research collaborations (including the NORA AI consortium).

Target Market

Prospective students (undergraduate to PhD), current students and researchers, academic collaborators, and industry/partners seeking research and educational collaboration.

Unique Value Proposition

Largest Norwegian realfag faculty with broad disciplinary coverage, extensive centers/institutes, and active national collaboration networks (NORA), enabling comprehensive education and cutting-edge research across science and technology.

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