Master of Science in Data Science – Kingston University (UK)

Description:

Data Science, a rapidly expanding
field globally, is driven by continuous advancements in computer systems and
data gathering. This program leverages the strengths of Kingston’s Mathematics
and Computer Science programs, offering a multidisciplinary approach to
computationally analyzing data. In a world abundant with large datasets in
business, science, and government, the demand for data-savvy professionals is
escalating. This program equips you with the skills to make sense of complex
datasets, build models, and apply them to solve relevant problems, preparing
you for a rewarding career in this dynamic and growing field.

Course Features:

• Demand: Data Scientists are in high
  demand globally, with organizations seeking professionals capable of extracting
  valuable insights from data.
• Growth: Data Science careers offer
  high earning potential, reflecting the industry’s recognition of the importance
  of data-driven decision-making.
• Job Security: Data Science is a
  fast-growing field, providing professionals with job security and a range of
  opportunities for career advancement.
• Opportunity: Data Science opens doors
  to various job opportunities, spanning industries and sectors, contributing to
  its versatility and applicability.
• Flexibility: Data Scientists are
  needed in various sectors, showcasing the flexibility of skills and their
  relevance across diverse industries.

Course Benefits:

• Practical Skills: Gain hands-on
  experience in computationally analyzing data, building models, and solving real-world
  problems.
• High Earning Potential: Unlock high
  earning potential by entering a field where data-driven decision-making is
  highly valued.
• Versatile Career Opportunities:
  Explore diverse career opportunities in industries such as business, science,
  and government.
• Job Security: Join a fast-growing
  field, ensuring job security and long-term career prospects.
• Interdisciplinary Approach: Benefit
  from a multidisciplinary approach that combines the strengths of Mathematics
  and Computer Science programs.

• A Honours degree in a subject with relevant computing science and mathematics/statistics content.
• Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engine. courses
• This course requires applicants to have programming knowledge, such as Python, Java, C++/C#, JavaScript and a knowledge of databases
• 25+ years old or substantial relevant work experience, such as two years as a programmer

Required Documents

• Postgraduate Application Form
• Authorization of Representation Form
• Academic Reference form
• Non-Academic Reference form
• English Language Certification
• Academic and Professional qualifications
• Service letters / Work Experiences
• Copy of NIC / Passport
• Student’s resume
• Approval evidence for the non-stnd app.

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