Taught course (will run subject to approval)

MSc in Data Science for Sustainable Development

Institution
Tomorrow University of Applied Science
Qualifications
MScMSc

Entry requirements

At Tomorrow University, we believe that impactful leadership extends beyond standardized test scores, which is why we do not require the GRE or GMAT.

Eligibility for the Impact Master's program includes prior academic qualifications (Bachelor's or Master's degree) or relevant work experience, along with proficiency in English. Additionally, we place great value on your personal purpose and the impact you aspire to create, assessing how it aligns with our community's mission.

The admissions process requires the following steps:

  • Eligibility check
  • Hand in a letter of motivation and additional information
  • Application review by Tomorrow University
  • Interview with Tomorrow University
  • Sign the contract

Apply to the MSc here.

Months of entry

March, June, September, November

Course content

In today’s data-driven world, solving modern challenges requires advanced analytical skills. Tomorrow University's Master of Science program will equip you with the practical skills and specialist knowledge in data science to address environmental and social challenges. With an expert focus on data science fundamentals, sustainability analysis, predictive modeling, advanced statistics, and machine learning techniques, this program prepares you to create impactful sustainability solutions.

Program Highlights

  • Advanced Machine Learning Techniques: Gain a solid foundation in advanced machine learning methods tailored for sustainability.
  • Practical Sustainability Projects: Engage in hands-on projects addressing real-world environmental and social challenges.
  • Interdisciplinary Approach: Integrate data science with sustainability to develop comprehensive solutions.
  • Real-World Impact: Learn to create and implement data-driven strategies for tangible environmental and social improvements.
  • Deep Learning and Time Series Analysis: Master deep learning and time series analysis for advanced sustainability applications.

What to Expect

  • Interdisciplinary Approach: Gain a holistic understanding of the intersection between sustainability, innovation, and technology.
  • Industry Relevance: Work with leading research institutions and tech companies on applied research projects, and learn how to leverage technology to ideate and lead sustainability initiatives.
  • Personalized Learning Journey: Tailor your education through specialized tracks and extracurricular activities that align with your career goals, values, and personal mission.
  • No Exams, Challenge-Based Learning: Engage in practical projects that teach you how to apply research across fields, and develop solutions to complex issues through hands-on, real-world experiences.
  • Career Opportunities: Be well-prepared for roles as analysts, managers, or consultants in sustainability and innovation. Pursue technical positions such as CTO, Environmental Technologist, or Data Scientist, or advance into research and PhD programs.

Making an Impact with Our Industry Partners

The term "Impact" embodies our commitment to providing an educational experience that aligns with your values and interests, empowering you to make a positive difference in the world. Central to our Impact Master are the core pillars of sustainability, innovation, and technology. These principles guide learners in addressing complex challenges and driving meaningful change within various sectors, allowing them to specialize and deeply engage with these transformative strategies.

  • Fraunhofer AHEAD: Through our collaboration with Fraunhofer AHEAD, the Deep Tech Accelerator of Fraunhofer, our learners gain access to a variety of deep technologies for the "Expanding Technologies for Good" challenge, fostering invaluable mentor-student relationships and enabling the application of academic knowledge in real-world contexts through group challenges, internships, and research projects.
  • Technical University of Darmstadt: We partner with the Technical University of Darmstadt (ise) on a research project titled "The Role of AI Literacy for Human-AI Collaboration." Our Master's learners will help develop educational AI tools (TocoAI) to improve AI literacy among diverse learners. This collaboration aligns our curriculum with the latest technological advancements and robust scientific principles.

Book your free Career Consultancy here.

Tailored to Your Aspirations

By joining our program, you will access cutting-edge resources, a network of leading industry experts and research institutions, and a support system that extends beyond graduation. Explore the different areas of specialization and discover the program that aligns with your vision for a sustainable future.

Career Opportunities

Graduates will be well-prepared for a variety of impactful roles, including:

  • Data Scientist: Apply data science techniques to address environmental and social challenges.
  • Sustainability Consultant: Advise organizations on data-driven sustainability strategies and practices.
  • Environmental Data Analyst: Analyze and interpret data to drive sustainability projects and initiatives.
  • Research Scientist: Conduct research on data science applications in sustainable development.
  • PhD Candidate: Pursue doctoral studies to further specialize and contribute to academic knowledge in data science and sustainable development.
  • Renewable Energy Data Analyst: Utilize data science techniques to optimize renewable energy systems.
  • Green Technology Advisor: Guide organizations in adopting and ethically using data-driven green technologies.
  • Sustainability Program Manager: Lead and manage sustainability projects that leverage data science for impactful outcomes.
  • Climate Data Specialist: Analyze climate data to support environmental policy and project development.

Get more information here.

Information for international students

The eligibility and admission criteria are the same for both national and international students. As a remote-first institution, Tomorrow University of Applied Sciences provides equal access to education, regardless of location.

Book a meeting with our international Counseling Team here.

Fees and funding

UK students
from £10,350 total
International students
from €11,500 total

MSc 90 ECTS - 18 Months
Pay in 18 installments* - £575 (or €639) per month
Pay in 42 installments* - £276 (or €307) per month

Total price after reductions: £10,350 (or €11.500*)

*After Scholarships & Early Application Benefit

Depending on payment modality (upfront, semesterly, quarterly) further discounts are possible.

MSc 120 ECTS - 24 Months
Pay in 24 installments* - £543 (or €604) per month
Pay in 48 installments* - £304 (or €338) per month

Total price after reductions: £13,050 (or €14.500*)

*After Scholarships & Early Application Benefit

Depending on payment modality (upfront, semesterly, quarterly) further discounts are possible.

Book your free Career Consultancy here.

Qualification, course duration and attendance options

  • MSc
    full time
    18 months
    • Distance learningis available for this qualification
    flexible
    18 months
    • Distance learningis available for this qualification
    part time
    18 months
    • Distance learningis available for this qualification
  • MSc
    flexible
    24 months
    • Distance learningis available for this qualification
    part time
    24 months
    • Distance learningis available for this qualification
    full time
    24 months
    • Distance learningis available for this qualification

MSc with 90 ECTS - Duration 18 months

MSc with 120 ECTS - Duration 24 months

Assessment

AssessmentWhat kind of work will I be doing? (proportionally)
Written/ formal examinations10
Written coursework / continuous assessment10
Creative work20
Professional practice50
Dissertation10

Course contact details

Name
Admissions Team
Email
admissions@tomorrow.university