MBM Master of Business Management
The MBM program at the University of Essex is designed to develop well-rounded business...
MSc Applied Data Science
Colchester Campus
INTAKE: Jan & Oct
Program Overview
The MSc Applied Data Science program at the University of Essex is designed to equip students with the knowledge and skills necessary to analyze and interpret complex data sets, enabling them to make informed decisions and drive innovation.
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Data Science Foundation: The program provides students with a solid foundation in data science, covering topics such as data analysis, machine learning, statistical modeling, data visualization, and big data management. Students gain a deep understanding of the theoretical concepts and practical techniques used in data-driven decision making.
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Practical Learning and Projects: The program emphasizes hands-on learning and practical application of data science techniques. Students have the opportunity to work on real-world projects, using industry-standard tools and technologies to solve data-driven problems. These projects enhance students' analytical and problem-solving skills while preparing them for the challenges of the industry.
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Cutting-edge Curriculum: The curriculum is designed to reflect the latest advancements and trends in the field of data science. It covers topics such as predictive analytics, natural language processing, deep learning, data ethics, and data privacy. Students are exposed to emerging technologies and techniques, ensuring they stay at the forefront of the rapidly evolving field of data science.
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Industry Engagement and Guest Lectures: The program maintains strong connections with industry partners, providing students with opportunities for networking, internships, and guest lectures from industry professionals. This exposure to real-world applications and insights from industry experts enhances students' understanding of the practical aspects of data science and fosters valuable industry connections.
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Research Opportunities: The University of Essex is renowned for its research expertise in data science. Students may have the chance to engage in research projects, collaborating with faculty members and contributing to ongoing research initiatives. This research experience enables students to deepen their knowledge and develop specialized skills in specific areas of data science.
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.
Graduates of the MSc Applied Data Science program have excellent career prospects in a wide range of industries that rely on data-driven decision making.
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Data Analyst/Scientist: Graduates can work as data analysts or data scientists, leveraging their skills to collect, clean, analyze, and interpret large datasets to extract actionable insights for businesses or organizations.
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Machine Learning Engineer: Graduates can pursue roles as machine learning engineers, developing and deploying machine learning models and algorithms to automate processes, enhance predictions, and drive innovation.
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Data Engineer: Graduates can work as data engineers, responsible for designing and building data pipelines, managing data infrastructure, and ensuring data quality and integrity.
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Business Intelligence Analyst: Graduates can become business intelligence analysts, supporting decision-making processes by transforming data into meaningful visualizations, dashboards, and reports that aid in strategic planning and performance evaluation.
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Data Consultant: Graduates can work as data consultants, providing expert advice and solutions to organizations seeking to optimize their data management practices, implement data-driven strategies, and improve operational efficiency.
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Researcher/PhD Opportunities: Graduates can pursue research positions or further their studies through Ph.D. programs in data science, contributing to advancements in the field and shaping the future of data-driven research and innovation.
