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Students
Tuition Fee
GBP 20,460
Per year
Start Date
Medium of studying
On campus
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Data Science | Data Analytics
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 20,460
Intakes
Program start dateApplication deadline
2023-09-18-
2023-05-02-
2023-09-262023-07-17
2024-01-16-
2024-09-01-
About Program

Program Overview


Goldsmiths' MSc Data Science program equips students with the skills to analyze "big data" effectively. The program combines statistical analysis with large-scale computational techniques, preparing graduates for data science roles in various industries. Students can choose from optional modules to specialize in areas such as Artificial Intelligence, Financial Technologies, Econometrics, or Marketing. The program is offered part-time or full-time and utilizes industry-standard software like Apache Hadoop and Spark.

Program Outline


MSc Data Science at Goldsmiths, University of London


Degree Overview:

The MSc Data Science program at Goldsmiths, University of London, equips students with the technical and practical skills to analyze "big data" effectively. This 3-year part-time or 1-year full-time program emphasizes combining statistical analysis skills with large-scale computational techniques.


Outline:

  • Compulsory Modules:
  • Data Programming (15 credits)
  • Machine Learning (15 credits)
  • Big Data Analysis (15 credits)
  • Statistics and Statistical Data Mining (15 credits)
  • Data Science Research Topics (15 credits)
  • Data Visualisation (15 credits)
  • Final Project in Data Science (60 credits)
  • Optional Modules:
  • Artificial Intelligence (15 credits)
  • Neural Networks (15 credits)
  • Financial Data Modelling (15 credits)
  • Blockchain Programming (15 credits)
  • Mathematics for Financial Markets (15 credits)
  • Econometrics (15 credits)
  • From National Statistics to Big Data (15 credits)
  • Advanced Econometrics (15 credits)
  • Marketing Strategy (15 credits)
  • Marketing Analytics (15 credits)
  • Digital Marketing and Branding (15 credits)
  • R Programming (15 credits)
  • Assessment:
  • Assessment methods vary depending on the modules.
  • They typically include:
  • Exams
  • Coursework
  • Projects
  • Presentations
  • Portfolios
  • Teaching:
  • The program employs various teaching methods to create an engaging and interactive learning experience:
  • Lectures
  • Seminars
  • Tutorials
  • Workshops
  • Practical sessions
  • Guest lectures by industry experts
  • The teaching staff comprises academics and industry professionals with expertise in their respective fields.
  • Careers:
  • Graduates are well-positioned for various data science roles in diverse industries:
  • Data Scientist
  • Data Mining Analyst
  • Big Data Analyst
  • Hadoop Developer
  • NoSQL Database Developer
  • R Programmer
  • Python Programmer
  • Researcher in Data Science and Data Mining
  • Other:
  • This program is offered in collaboration with the University of London Worldwide for distance learning.
  • There are pathway options specializing in Data Science and Artificial Intelligence, Financial Technologies, Econometrics, and Marketing.

Annual tuition fees These are the fees for students starting their programme in the 2024/2025 academic year. Home - full-time: £12520 Home - part-time: £6260 International - full-time: £20460 Additional costs There may also be specific additional costs associated with your programme.

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About University
Masters
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Diploma
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Courses

Goldsmiths, University of London


Overview:

Goldsmiths, University of London is a public research university located in South East London. It is known for its progressive teaching and world-leading research, particularly in the arts, humanities, and social sciences. The university prides itself on fostering a space for self-discovery and offers a single-site campus experience.


Services Offered:

    Student Support:

    Goldsmiths provides a range of support services for students, including a library, IT support, and a dedicated Graduate School for postgraduate research students.

    Learning Resources:

    The university offers access to the Learn.gold virtual learning environment (VLE) and the Teaching and Learning Innovation Centre (TALIC).

    Campus Life:

    Goldsmiths offers a vibrant campus experience with accommodation options, campus tours, and opportunities to connect with students through the Unibuddy platform.

Student Life and Campus Experience:

Goldsmiths offers a unique campus experience in the heart of South East London. Students can explore the campus through virtual tours and learn about the local area through area guides. The university also hosts a variety of events and activities throughout the year.


Key Reasons to Study There:

    Progressive Teaching:

    Goldsmiths is known for its innovative and forward-thinking teaching methods.

    World-Leading Research:

    The university boasts a strong research reputation, particularly in the arts, humanities, and social sciences.

    Vibrant Campus Community:

    Goldsmiths fosters a diverse and inclusive campus community with a strong sense of belonging.

    Career Success:

    A high percentage of Goldsmiths graduates move on to highly-skilled work after their studies.

Academic Programs:

Goldsmiths offers a wide range of undergraduate and postgraduate programs across various disciplines, including:

    Arts:

    Fine Art, Design, Music, Theatre, Film, and Media

    Humanities:

    English, History, Philosophy, Languages, and Literature

    Social Sciences:

    Sociology, Psychology, Politics, and Economics

    Computing:

    Computer Science, Digital Media, and Information Technology

Other:

Total programs
347
Admission Requirements

Entry Requirements:


Educational Qualifications:

  • A BA or BSc Degree at 2:1 level or above in a subject such as computer science, mathematics, statistics, engineering, or quantitative subjects like economics and finance.
  • Specific requirements for the "Artificial Intelligence" pathway: a strong quantitative background in mathematics, computer science, or a related field.

Language Proficiency:

  • For non-native English speakers, an IELTS score (or equivalent English language qualification) of 6.5 overall and no element lower than 6.0.

Additional Requirements:

  • While programming experience is not mandatory, a level of mathematical dexterity is expected.
  • This should be commensurate with someone who has completed a numerate degree.
  • Applicants with non-standard qualifications or previous work experience will be assessed on an individual basis.

Language Proficiency Requirements:

  • For non-native English speakers, an IELTS score (or equivalent English language qualification) of 6.5 overall and no element lower than 6.0 is required.

Alternative Language Proficiency Tests:

The following English language tests are accepted as alternatives to IELTS:

  • Pearson Test of English (PTE Academic) - overall score of 62
  • Cambridge English: Advanced (CAE) - grade C
  • Cambridge English: Proficiency (CPE) - grade C
  • TOEFL iBT - overall score of 90
  • Duolingo English Test - overall score of 120

Exemptions:

  • Applicants who have completed a UK undergraduate or postgraduate degree taught and assessed in English are exempt from the language requirement.
  • Applicants who are native English speakers are also exempt from the language requirement.

English Language Support:

Goldsmiths offers a range of English language courses that can help applicants prepare for postgraduate-level study. This includes intensive pre-sessional courses as well as in-sessional support.

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