MSc Data Science with Advanced Research

Hatfield Campus

 

INTAKE: Jan & Sept

Program Overview

The MSc Data Science with Advanced Research program at the University of Hertfordshire is designed to empower students with the knowledge, skills, and practical experience needed to excel in the dynamic field of data science. This program combines theoretical learning with hands-on research opportunities to produce data scientists who are proficient in data analysis, machine learning, and advanced research techniques. 

  1. Core Data Science Competencies: The program covers a comprehensive range of core competencies in data science, including data analysis, statistical modeling, machine learning, and data visualization.

  2. Advanced Research Component: A distinguishing feature of this program is its strong emphasis on research. Students engage in advanced research projects, working closely with faculty members on cutting-edge research topics.

  3. Interdisciplinary Approach: Data science often intersects with various domains, and this program encourages interdisciplinary collaboration. Students interact with experts from diverse fields, fostering a holistic understanding of data-driven decision-making.

  4. Practical Application: Practical skills are honed through hands-on experience with real-world datasets and industry-relevant tools and software. This equips graduates to tackle complex data-related challenges in their careers.

  5. Big Data Analytics: The curriculum delves into big data analytics, preparing students to handle massive datasets and derive actionable insights from them.

  6. Ethical Data Practices: Ethical considerations are integrated into the program, emphasizing the responsible collection, storage, and use of data.

  7. Research Opportunities: The program offers extensive research opportunities, enabling students to delve into areas such as natural language processing, computer vision, predictive analytics, and more.

  8. Data Science Tools: Students gain proficiency in popular data science tools and programming languages like Python, R, and SQL.

Pollster Education

Location

Hatfield Campus

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 17950

Postgraduate Programs:

  • Academic Qualifications: For postgraduate programs, international students are generally required to hold a bachelor's degree or an equivalent qualification with a minimum overall score of 55% or above. Specific program requirements may vary, and some courses may have higher entry requirements.
  • English Language Proficiency:
    • IELTS: A minimum overall score of 6.5, with no individual component score below 6.
    • TOEFL: A minimum overall score of 90-95, with a minimum score of 20 in each component.
    • PTE: A minimum overall score of 62-67, with no individual score below 51.

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.

The University of Hertfordshire offers a range of scholarships and financial assistance programs to support international students in pursuing their education. These scholarships are designed to recognize academic excellence, encourage diversity, and provide opportunities for students who may face financial barriers.

  1. Vice-Chancellor's Scholarship: This prestigious scholarship is awarded to exceptional international undergraduate and postgraduate students who demonstrate academic excellence. It provides a tuition fee discount of up to £4,000 for the duration of the course.
  2. Regional Scholarships: The university offers several scholarships specifically for students from certain regions or countries. These scholarships vary in value and eligibility criteria, providing financial support to students from specific geographic areas.
  3. Merit Scholarships: Merit-based scholarships are available for high-achieving international students. These scholarships recognize academic excellence and provide financial assistance towards tuition fees.
  4. Sports Scholarships: The university encourages talented athletes to pursue their academic and sporting ambitions simultaneously. Sports scholarships are awarded to exceptional athletes who can demonstrate outstanding sporting achievements and commitment to their chosen sport.
  5. Alumni Scholarships: The university offers scholarships for international students who have completed their undergraduate studies at the University of Hertfordshire and wish to pursue postgraduate studies. These scholarships provide financial support towards tuition fees.
  6. Partnership Scholarships: The university has established partnerships with various organizations, institutions, and governments. Through these partnerships, international students may have access to specific scholarships and funding opportunities.
  7. External Scholarships: The University of Hertfordshire also supports students in their search for external scholarships and funding sources. The dedicated scholarships team provides guidance and information on external scholarships that international students may be eligible to apply for.

It is important to note that each scholarship has specific eligibility criteria, application deadlines, and required documentation.

Graduates of the MSc Data Science with Advanced Research program from the University of Hertfordshire are poised for a wide range of career opportunities in the data science field. Here are some potential career prospects:

  1. Data Scientist: Graduates can work as data scientists, applying their skills to analyze data, develop predictive models, and generate insights for organizations across various industries.

  2. Machine Learning Engineer: Those interested in machine learning can pursue roles as machine learning engineers, developing algorithms and models for applications such as recommendation systems and natural language processing.

  3. Data Analyst: Data analysts focus on data cleansing, visualization, and basic statistical analysis to inform decision-making.

  4. Business Intelligence Analyst: These professionals help organizations make data-driven decisions by creating dashboards and reports.

  5. Data Engineer: Data engineers build and maintain the infrastructure for data generation, collection, and storage.

  6. Research Scientist: Graduates with a strong research background can pursue research scientist roles in academia, research institutions, or industry.

  7. Data Consultant: Data consultants offer expertise in data analysis and strategy to businesses seeking to leverage their data assets.

  8. Data Science Manager: Experienced professionals may take on managerial roles, overseeing data science teams and projects.

  9. Ph.D. or Academic Career: The program also prepares students for further research at the doctoral level or for careers in academia.


Similar Courses
WhatsApp Enquiry Call Enquiry