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Urban Data Science and Analytics MSc

University of Leeds

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University of Leeds

Course options

2 options available

  • Qualification

    MSc - Master of Science

  • Location

    University of Leeds

  • Study mode

    Full time

  • Start date

    01-SEP-25

  • Duration

    12 months

Course summary

Urban data science and analytics are critical to helping cities evolve, providing invaluable insight into urban processes, dynamics within cities, and highlighting local and global issues. This is why specialists in this field are highly sought after within the public and private sectors to help address these issues and contribute to solutions in future planning.

Our Urban Data Science and Analytics MSc offers you the opportunity to gain in-depth knowledge of the methods and approaches of data science and learn how to apply them in understanding cities and setting urban policy.

The course will combine technical training in the latest data science techniques 鈥� from data wrangling to machine learning, visualisation, and beyond 鈥� with the critical thinking needed to interrogate and understand complex urban and mobility challenges.

At the heart of this course will be a commitment to tackling the real-world challenges facing cities. Researchers at the University of Leeds are finding novel data-driven solutions to tackle challenges such as traffic congestion, social and economic equality, healthy cities, and competition for resources.

This means, once you graduate, you鈥檒l be fully equipped with the experience, technical skills, and knowledge needed to pursue a career in this area, with roles in everything from data science to software development or urban planning.

Career opportunities

Data science and analytics have become crucial to many industries worldwide, meaning demand for qualified specialists in this field has grown exponentially in recent years 鈥� with no signs of slowing down.

This course will teach you the in-depth technical knowledge and skills in data science along with training in workflow practice, teamwork, and 鈥榟acking鈥� that鈥檚 highly sought after by employers and will prepare you for an exciting career in industry. You'll also build an online portfolio of work developed throughout the course which will demonstrate your skills to prospective employers.

On completion of this course, you'll have the technical knowledge to secure employment in local government, companies handling spatial data (e.g. supermarkets, retail), start-ups, transportation authorities and operators, urban planners and consultancies (e.g. Arup, Mott MacDonald) in roles such as a data scientist, data analyst or software developer.

Application deadline

16 August 2024

Tuition fees

Students living in Hong Kong
(International fees)

拢 30,750per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Leeds

University of Leeds

University of Leeds

  • University League Table

    23rd

  • Campus address

    University of Leeds, Woodhouse Lane, Leeds, Leeds, LS2 9JT, England

VIEW PROFILE
A global community with staff and students from over 130 countries, providing opportunities to meet and work with people from around the world.
The University of Leeds is continually investing in its campus, from new labs and lecture theatres to one of the most impressive libraries in the UK.
The University of Leeds has been welcoming international students for over 100 years, so you can be sure of experienced help throughout your time at Leeds.

Subject rankings

  • Subject ranking

    Computer Science

    20th out of 117 3

    8th out of 30 5

    7th out of 22

  • Entry standards

    / Max 227
    173 76%

    18th

  • Graduate prospects

    / Max 100
    88.0 88%

    33rd

    17

  • Student satisfaction

    / Max 4
    2.63 66%

    116th

    5

  • Entry standards

    / Max 229
    153 67%

    12th

  • Graduate prospects

    / Max 100
    88.0 88%

    5th

    4

  • Student satisfaction

    / Max 4
    3.13 78%

    16th

    14

  • Entry standards

    / Max 200
    n/a

  • Graduate prospects

    / Max 100
    80.0 80%

    11th

  • Student satisfaction

    / Max 4
    2.77 69%

    20th

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