Taught course (will run subject to approval)

MSc in Data Leadership in Sustainable Innovation

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, effective leadership in sustainable innovation requires advanced analytical skills and strategic insight. Tomorrow University's Master of Science in Data Leadership for Sustainable Innovation equips you with the practical skills and specialist knowledge to drive impactful, data-informed sustainable innovations.

With a strong focus on data analytics, leadership principles, sustainability analysis, and strategic innovation, this program prepares you to lead transformative projects that address environmental and social challenges.

Program Highlights

  • Data Analytics for Sustainability: Master advanced data analytics techniques to solve sustainability challenges and drive innovation.
  • Leadership Principles: Develop leadership skills tailored to fostering innovation and sustainability within organizations.
  • Strategic Innovation: Learn to create and implement data-driven strategies that promote sustainable development.
  • Sustainability Metrics: Assess and interpret sustainability metrics to guide data-driven decision-making and project management.
  • Hands-On Projects: Engage in practical, real-world projects to apply your learning and collaborate with industry mentors and partners.

What to Expect

  • Interdisciplinary Approach: Gain a holistic understanding of the intersection between data science, sustainability, and innovation.
  • Industry Relevance: Work with leading research institutions and tech companies on applied research projects, learning how to leverage technology to 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.

Book your free Career Consultancy here.

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.

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:

  • Chief Data Officer (CDO): Oversee data strategies and initiatives within an organization to drive sustainability.
  • Sustainability Data Analyst: Analyze and interpret data to support sustainability projects and initiatives.
  • Innovation Manager: Lead the development and implementation of innovative solutions that drive sustainability.
  • Environmental Data Scientist: Utilize data science techniques to address environmental challenges and drive sustainable development.
  • Sustainability Program Director: Design and manage programs that promote environmental responsibility and sustainability.
  • Corporate Responsibility Manager: Ensure that business operations align with social and environmental responsibility standards.
  • Sustainable Supply Chain Director: Optimize supply chains to enhance environmental efficiency and reduce carbon footprint.
  • Green Technology Advisor: Guide organizations in adopting and ethically using data-driven green technologies.
  • Research Scientist: Conduct research on data leadership and sustainable innovation.
  • PhD Candidate: Pursue doctoral studies to further specialize and contribute to academic knowledge in data leadership for sustainable innovation.
  • Product Sustainability Manager: Lead the development and marketing of sustainable products utilizing advanced data analytics.

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