MSc Accounting and Financial Management
The University of Bristol's MSc in Accounting and Finance is designed to equip stud...
BSc Data Science with a Year in Industry
Clifton Campus
INTAKE: September
Program Overview
The BSc Data Science with a Year in Industry program at the University of Bristol is an undergraduate course designed to equip students with essential skills in data science, machine learning, and analytics, complemented by practical industry experience.
Curriculum: The curriculum for BSc Data Science includes modules in statistics, machine learning, data analysis, programming languages (such as Python and R), database management, and data visualization. Students acquire both theoretical knowledge and hands-on skills necessary for data-centric roles.
Research Focus: The program emphasizes research-driven approaches in data science. Students engage in research projects exploring data analytics, predictive modeling, data mining, or computational statistics, applying these methods to real-world datasets.
Industry Engagement: The University of Bristol promotes industry engagement for Data Science students. Through a year-long industry placement, students gain practical experience, applying their data science skills in real-world settings, and establishing connections within the industry.
Global Perspective: Studying Data Science provides a global perspective on data-driven technologies and their applications. Students analyze global datasets, understanding diverse approaches and applications of data science solutions worldwide.
Location
Clifton Campus
Score
IELTS 6.5
Tuition Fee
£ 27200
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 85% or equivalent in their respective country's grading system.
English Language Proficiency:
- IELTS: A minimum overall score of 6.5 with no individual component below 6.
- TOEFL: A minimum overall score of 88, with at least 22 in Listening, 24 in Reading, 21 in Speaking, and 20 in Writing.
- PTE Academic: A minimum overall score of 66 with no individual score below 60.
- Some 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.
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 Bristol offers a range of scholarship opportunities to both domestic and international students.
Vice-Chancellor’s Scholarship: This scholarship is offered to high-achieving students who are starting their undergraduate or postgraduate studies at the University of Bristol. The scholarship covers full tuition fees and a maintenance allowance.
Think Big Scholarship: This scholarship is awarded to international students who have demonstrated exceptional academic merit and potential.
Sanctuary Scholarship: This scholarship is awarded to asylum seekers, refugees, and their immediate family members who are seeking an undergraduate or postgraduate degree at the University of Bristol. The scholarship covers full tuition fees and a maintenance allowance.
Graduating from the prestigious BSc Data Science with a Year in Industry program at the University of Bristol opens diverse career pathways in the rapidly evolving field of data science and analytics, leveraging strong analytical skills, practical experience, and industry exposure.
Data Analyst/Scientist: Many graduates pursue careers as data analysts or data scientists. They work across various industries, extracting insights from complex datasets, building predictive models, and contributing to data-driven decision-making.
Machine Learning Engineer: Proficiency in machine learning equips graduates for roles as machine learning engineers. They work on developing and implementing machine learning algorithms, particularly in areas like natural language processing, image recognition, or recommendation systems.
Business/Data Intelligence Analyst: Graduates may work as business or data intelligence analysts. They assist organizations in making strategic decisions by analyzing market trends, consumer behavior, and operational data, contributing to business growth strategies.
Data Engineer: Proficiency in data management prepares graduates for roles as data engineers. They design, build, and manage data pipelines, ensuring efficient data processing and storage within organizations.
Big Data Consultant: Graduates with expertise in handling large datasets may work as big data consultants. They assist companies in managing and deriving value from massive volumes of data, recommending solutions for data storage, processing, and analysis.
AI Ethics Specialist: Proficiency in data ethics enables graduates to work in AI ethics roles. They analyze the ethical implications of AI systems, ensuring ethical development and deployment of AI technologies within organizations.
Research Scientist: Some graduates opt for roles in research institutions or academia. They contribute to scientific research, particularly in fields like healthcare, environmental science, or social sciences, utilizing data-driven approaches.
Further Studies and Academia: Graduates may pursue advanced studies through master's or doctoral degrees in data science or related fields. They contribute to academic research or pursue careers in higher education and specialized research institutions.
