MBM Master of Business Management
The MBM program at the University of Essex is designed to develop well-rounded business...
MSc Data Science with Professional Placement
Colchester Campus
INTAKE: October
Program Overview
The MSc Data Science with Professional Placement program at the University of Essex combines academic study with a professional placement, allowing students to gain real-world experience and enhance their employability.
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Core Data Science Skills: The program provides a solid foundation in data science principles, statistical analysis, machine learning, and data visualization. Students gain expertise in handling and analyzing large datasets using programming languages like Python and R.
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Professional Placement: The program includes a structured professional placement, typically lasting for several months. During the placement, students work in a data-focused role in an industry setting, applying their skills and gaining practical experience. This placement provides invaluable insights into industry practices and enhances students' understanding of real-world data challenges.
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Industry Engagement: The program fosters strong connections with industry partners, ensuring that students have access to a wide range of placement opportunities. These partnerships also contribute to the development of the program's curriculum, ensuring its relevance to current industry demands.
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Practical Projects: The program includes practical projects where students apply their data science skills to real-world problems. These projects simulate industry scenarios and help students develop critical thinking, problem-solving, and communication skills.
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Specialized Electives: Students have the flexibility to choose specialized elective modules based on their specific areas of interest within data science. These modules allow students to deepen their knowledge in areas such as natural language processing, data mining, or deep learning.
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Research and Innovation: The program encourages research and innovation in data science. Students have the opportunity to engage in cutting-edge research projects, collaborating with faculty members and industry partners. This exposure to research contributes to their analytical and critical thinking abilities.
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Personal and Professional Development: The program focuses on developing students' personal and professional skills, including teamwork, project management, and effective communication. These skills are crucial for success in the data science industry.
Location
Colchester Campus
Score
IELTS 6.5
Tuition Fee
£ 19740
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 50 to 55% or equivalent.
- 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 6.0.
- TOEFL: A minimum overall score of 90.
- PTE Academic: A minimum overall score of 62 with no individual score below 51.
- 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 entry requirements may vary across different programs and courses. Additionally, meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as the number of available places and competition for certain courses.
The University of Essex offers a range of scholarships and financial support options to assist students in their academic journey. These scholarships are designed to recognize and reward academic excellence, promote diversity and inclusion, and provide assistance to those facing financial challenges.
- Academic Excellence Scholarships: The university offers scholarships to outstanding students who demonstrate exceptional academic achievements. These scholarships are typically merit-based and provide financial support towards tuition fees or living expenses.
- International Scholarships: The University of Essex provides scholarships specifically designed for international students. These scholarships aim to attract and support talented students from around the world. Eligibility criteria and award amounts may vary, and they may cover a portion of tuition fees or provide assistance with living expenses.
- Subject-specific Scholarships: Some departments and schools within the university offer scholarships tailored to specific academic disciplines. These scholarships are often awarded to students with exceptional academic records or those who demonstrate a strong commitment to their field of study.
- Access and Participation Scholarships: The university is committed to promoting diversity and inclusion. It offers scholarships and financial support to students from underrepresented backgrounds, including those from low-income families or individuals who are the first in their family to attend university.
- Government-funded Scholarships: In addition to internal scholarships, the University of Essex provides information and guidance on scholarships and funding opportunities offered by external organizations and government agencies. These scholarships may be available to students based on factors such as nationality, field of study, or research interests.
- Sports Scholarships: The university recognizes the importance of sports and offers scholarships to talented athletes who demonstrate exceptional sporting abilities. These scholarships provide financial support along with access to sports facilities, training programs, and dedicated support services.
It is important to note that scholarship availability, eligibility criteria, and application processes may change over time.
The MSc Data Science with Professional Placement program offers excellent career prospects for graduates.
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Data Scientist: Graduates can pursue careers as data scientists, applying advanced analytics and machine learning techniques to solve complex problems. They may work on projects involving predictive modeling, recommendation systems, or fraud detection.
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Data Analyst: Graduates can work as data analysts, responsible for collecting, analyzing, and interpreting data to support decision-making processes. They may work across various industries, such as finance, healthcare, marketing, or technology.
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Data Engineer: Graduates can work as data engineers, focusing on designing and managing data infrastructure and systems. They develop data pipelines, ensure data quality, and optimize data storage and retrieval processes.
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Business Intelligence Analyst: Graduates can work as business intelligence analysts, utilizing data to generate insights and inform strategic decision-making. They develop visualizations and reports to communicate data-driven insights effectively.
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Data Consultant: Graduates can work as data consultants, providing expertise and guidance to organizations on data-driven strategies, data governance, and data management practices. They may work independently or as part of consulting firms.
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Researcher or Academic: Graduates can pursue research or academic careers, contributing to the advancement of data science through research projects, publications, and teaching positions in universities or research institutions.
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Data Science Manager: Graduates with experience and leadership skills can progress to managerial roles, overseeing data science teams and projects within organizations. They play a crucial role in driving data-driven strategies and fostering innovation.
