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Check if your qualifications meet this program's admission requirements.
10 skills mapped from curriculum analysis
These skills are derived from curriculum analysis and industry alignment. Primary skills are core to the program; others are developed through coursework and projects.
Core skills
Additional skills
Technical Skills
Business & Strategy
Data & Analytics
Other
Total skills
10
Core skills
5
High demand
5
This is based on the Biotechnology & Life Sciences Future Field and its subfields (not program‑specific promises). Use the official program page for curriculum details.
Why this field matters
Biotechnology, genomics, pharmaceuticals, and life sciences innovation
Career outcomes snapshot
A quick, visual overview of common outcomes in this field (roles + paths + subfields). It’s field-level context — not a promise for this specific program.
Roles
6
Paths
6
Subfields
2
Top roles
Typical paths
Subfields
Looking for a Master's in Biotechnology & Life Sciences? Compare intakes above and verify curriculum details on the official programme page.
A–F framework evaluation • Each score is backed by evidence
6-dimension future-readiness evaluation
Future relevance
Is this program connected to fast-growing careers?
“The programme is tightly connected to cutting-edge research at KTH, especially within the Departments of Gene Technology and Protein Science.”
View sourceTech & data strength
Will you build strong technical skills (data, software, AI tools)?
“Courses in the programme The courses in the programme cover topics such as bioinformatics, systems biology, spatial transcriptomics and proteomics, structural biology, metabolic modeling, applied machine learning in biotechnology, precision medicine, sustainability in biotechnology.”
View sourcePeople skills
Does it build communication, teamwork, and leadership?
“It plays a central role in the Data-Driven Life Science (DDLS) initiative, placing the programme at the forefront of interdisciplinary research combining biotechnology and AI.”
View sourcePractical learning
Do you learn by doing (projects, labs, real-world work)?
“Spatial Omics at Science for Life Laboratory Science for Life Laboratory in Stockholm has pioneered several spatial omics methods, including spatial transcriptomics and spatial proteomics.”
View sourceInnovation & entrepreneurship
Does it support innovation, startups, or building new things?
“Previous graduates from related KTH programmes have found employment at companies such as AstraZeneca, Sobi, 10X Genomics, Pelago Bioscience, Atlas Antibodies, Xbrane Biopharma, Pixelgen, Navinci Diagnostics, public agencies such as the Swedish Tax Agency and innovation-driven tech companies.”
View sourceGlobal & ethical impact
Does it cover sustainability, ethics, and global perspective?
“Courses in the programme The courses in the programme cover topics such as bioinformatics, systems biology, spatial transcriptomics and proteomics, structural biology, metabolic modeling, applied machine learning in biotechnology, precision medicine, sustainability in biotechnology.”
View sourceHow we calculate these scores
Our A–F framework evaluates programs across 6 dimensions of future-readiness. Scores combine: field alignment (how the program's field connects to growing industries), curriculum signals (keywords, course structure, learning outcomes), and institution profile (research focus, industry partnerships). This program has 6 verified citations from official sources.
Learn more about our methodologyMojo can build a personalized shortlist based on your profile. Or talk to a human advisor.
Promise: no sales pressure — just clarity.
Industry insights verified by Mojo
Big-picture context for Biotechnology & Life Sciences. These sources show why the field is growing — not specific program details.
Healthcare workforce shortages remain material through 2030
World Health Organization • 2025-05-12
The evidence indicates global progress in reducing the nursing workforce shortage from 6.2 million in 2020 to 5.8 million in 2023, with a projection to decline to 4.1 million by 2030.
Read sourceHealth and care job growth + skills gaps are long-term
World Health Organization • 2025-01-01
The world will face a shortfall of 10 million health and care workers by 2030, of which more than half will be in Africa.
Read sourceBiological-technician jobs are growing faster than average
U.S. Bureau of Labor Statistics • 2024-09-01
The U.S. Bureau of Labor Statistics projects biological-technician employment to grow 7% from 2023 to 2033 — faster than the all-occupation average — with about 10,300 openings each year.
Read sourceBiomedical engineering employment to grow 7% this decade
U.S. Bureau of Labor Statistics • 2024-09-01
Employment of bioengineers and biomedical engineers is projected to grow 7% from 2023 to 2033, faster than the average for all occupations.
Read sourceThe Bio Revolution could create $2–4 trillion of impact a year
McKinsey Global Institute • 2020-05-01
McKinsey estimates the Bio Revolution — from ~400 already-feasible use cases — could generate $2–4 trillion in direct annual economic impact across 2030–2040, more than half of it outside human health.
Read sourceCitations from official sources
Spatial Omics at Science for Life Laboratory Science for Life Laboratory in Stockholm has pioneered several spatial omics methods, including spatial transcriptomics and spatial proteomics.
View sourcePrevious graduates from related KTH programmes have found employment at companies such as AstraZeneca, Sobi, 10X Genomics, Pelago Bioscience, Atlas Antibodies, Xbrane Biopharma, Pixelgen, Navinci Diagnostics, public agencies such as the Swedish Tax Agency and innovation-driven tech companies.
View sourceCourses in the programme The courses in the programme cover topics such as bioinformatics, systems biology, spatial transcriptomics and proteomics, structural biology, metabolic modeling, applied machine learning in biotechnology, precision medicine, sustainability in biotechnology.
View sourceThe programme is tightly connected to cutting-edge research at KTH, especially within the Departments of Gene Technology and Protein Science.
View sourceCourses in the programme The courses in the programme cover topics such as bioinformatics, systems biology, spatial transcriptomics and proteomics, structural biology, metabolic modeling, applied machine learning in biotechnology, precision medicine, sustainability in biotechnology.
View sourceIt plays a central role in the Data-Driven Life Science (DDLS) initiative, placing the programme at the forefront of interdisciplinary research combining biotechnology and AI.
View source