MSc Data Science with Placement

Manchester

 

INTAKE: September

Program Overview

The MSc in Data Science with Placement at Manchester Metropolitan University is a comprehensive and highly regarded program that focuses on data analysis, machine learning, and data-driven decision-making.

  1. Core Data Science Concepts: Students explore core concepts in data science, including data analysis, statistics, data visualization, and machine learning techniques.

  2. Programming Skills: The curriculum includes the development of programming skills in languages such as Python and R, which are essential for data analysis and machine learning.

  3. Data Mining and Big Data: Students learn about data mining and handling big data, preparing them to work with large and complex datasets.

  4. Machine Learning: The program covers machine learning algorithms and techniques, enabling students to build predictive models and extract insights from data.

  5. Data Visualization: Students gain expertise in data visualization tools and methods, enhancing their ability to communicate data-driven insights effectively.

  6. Ethics and Privacy: The program addresses ethical considerations and privacy concerns related to data science, ensuring that students are responsible data practitioners.

  7. Industry Placement: Students have the opportunity to undertake a placement year with industry partners, gaining valuable real-world experience in data science.

  8. Research and Innovation: The program emphasizes research and innovation in data science, allowing students to contribute to advancements in the field.

  9. Industry Collaboration: MMU often collaborates with industry partners, facilitating placement opportunities for students with leading companies and organizations in the data science sector.

Pollster Education

Location

Manchester

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 17000

Postgraduate Entry Requirements:

  • Academic Qualifications: For postgraduate programs, international students are generally required to have a minimum academic qualification of 55% or above in their previous studies. However, some courses may have specific requirements or higher entry criteria.
  • English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
    • IELTS: A minimum overall score of 6.5 with no individual component below 6.
    • TOEFL: A minimum overall score of 95, with at least 19 in Listening, 19 in Reading, 20 in Speaking, and 19 in Writing.
    • PTE Academic: A minimum overall score of 67 with no individual score below 58.
  • Some postgraduate programs may have specific subject prerequisites or additional requirements.

Students must provide:

  • academic marksheets & transcripts
  • letters of recommendation
  • a personal statement - SOP
  • passport
  • other supporting documents as required by the university.

Work experience: Some postgraduate courses may require relevant work experience in the field.

It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.

Scholarships provide opportunities for talented students to pursue their studies at Manchester Metropolitan University. 

  1. Vice-Chancellor's International Scholarship: This prestigious scholarship is awarded to high-achieving international students who demonstrate exceptional academic performance. The scholarship offers a partial tuition fee waiver of up to £5,000.
  2. International Postgraduate Scholarships: MMU provides postgraduate scholarships to international students undertaking master's degree programs. These scholarships offer financial support towards tuition fees, with amounts ranging from £2,000 to £5,000.
  3. Country-Specific Scholarships: MMU offers scholarships specifically tailored to students from certain countries or regions. These scholarships may have specific eligibility criteria and provide financial assistance to support students from specific geographic areas.
  4. Sports Scholarships: MMU recognizes the achievements of talented athletes and offers sports scholarships to support their academic and sporting aspirations. These scholarships provide financial support and additional training opportunities for student-athletes.
  5. External Scholarships and Funding: MMU also encourages international students to explore external scholarship opportunities offered by governments, organizations, and foundations in their home countries. The university provides guidance and support in accessing external funding options.

It is important to note that scholarship availability, criteria, and application deadlines may vary each year.

Graduates of the MSc in Data Science program with placement at Manchester Metropolitan University are well-prepared for diverse and promising career paths in the field of data science.

  1. Data Scientist: Graduates may work as data scientists, responsible for analyzing data, developing machine learning models, and providing data-driven insights to organizations.

  2. Machine Learning Engineer: Opportunities exist as machine learning engineers, specializing in the development and deployment of machine learning systems.

  3. Data Analyst: Graduates can pursue careers as data analysts, focusing on data exploration, visualization, and statistical analysis to inform decision-making.

  4. Business Intelligence Analyst: Some alumni choose to become business intelligence analysts, using data to drive strategic business decisions.

  5. Big Data Engineer: Graduates may work as big data engineers, handling and processing large-scale data infrastructure.

  6. Data Consultant: Opportunities exist as data consultants, assisting organizations in optimizing their data strategy and implementing data-driven solutions.

  7. Researcher and Innovator: Some alumni may pursue careers in data science research, contributing to the development of new algorithms and techniques.


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