Data Science (with an industrial placement year) BSc (Hons)
Program Overview
The Data Science with Industrial Placement Year program at the University of Sussex combines theoretical foundations in data handling, analysis, and statistics with practical experience gained through an optional placement year. Students develop advanced skills in programming, machine learning, and data visualization, while also learning to think critically and solve real-world data-intensive problems. The program prepares graduates for roles as data scientists, data analysts, and other data-centric professionals.
Program Outline
Data Science (with an industrial placement year) BSc (Hons) - University of Sussex
Degree Overview:
This 4-year full-time program is designed for students interested in becoming proficient in data handling, analysis, and using computational and statistical methods to solve real-world data-intensive problems. The program emphasizes the relationship between modern data science and statistics, providing a thorough grounding in theories and techniques.
Objectives:
- Gain proficiency in handling data and using computational and statistical methods.
- Develop critical knowledge in programming and statistics, as well as analytical and modelling skills.
- Become proficient in industry-standard software such as Python and R.
- Work with researchers on a final-year project.
Outline:
Year 1:
- Teaching: Lectures, small-group workshops, computer laboratory sessions.
- Assessment: End-of-term examinations, coursework (problem sheets, online quizzes, programming exercises).
- Contact Hours and Workload: Approximately 1,200 hours (300 hours contact time, 900 hours independent study).
Year 2:
- Core Modules:
- Autumn: Databases, Introduction to Probability, Program Analysis, Scientific Computing
- Spring: Applied Machine Learning, Probability and Statistics, Software Engineering
- Optional Modules:
- Spring: Numerical Analysis, Professional and Managerial Skills
- Teaching: Lectures, small-group workshops, computer laboratory sessions.
- Assessment: End-of-term examinations, coursework (problem sheets, online quizzes, programming exercises).
- Contact Hours and Workload: Approximately 1,200 hours (300 hours contact time, 900 hours independent study).
Placement Year:
- Students can apply for an optional placement year in industry.
- The Careers team provides support in finding employers, drafting applications, and preparing for interviews.
- If a placement is not secured, students will transfer to a non-placement version of the course.
Year 3:
- Core Modules:
- Autumn: Linear Statistical Models (L6), The Data Science Process, Dissertation (BSc Data Science &/w IPY)
- Spring: Neural Networks, Wider Topics in Data Science (L6)
- Optional Modules:
- Autumn: Advanced Numerical Analysis (L.6), Comparative Programming, Computational Imaging Methods, E-Business and E-Commerce Systems, Introduction to Computer Security, Probability Models (L6)
- Spring: Limits of Computation, Machine Learning and Statistics for Health (L6), Monte Carlo Simulations (L6), Random processes (L.6), Statistical Inference (L6)
- Teaching: Lectures, small-group workshops, computer laboratory sessions, one-to-one sessions.
- Assessment: End-of-term examinations, coursework (problem sheets, online quizzes, programming exercises), written dissertation and presentation.
- Contact Hours and Workload: Approximately 1,200 hours (230 hours contact time, 970 hours independent study).
Assessment:
- Assessment methods typically include end-of-term examinations and coursework such as problem sheets, online quizzes, and programming exercises.
- Year 3 includes a written dissertation and presentation.
Teaching:
- Teaching methods typically include lectures and small-group workshops.
- Programming-based modules incorporate sessions in computer laboratories.
- Students are guided by an academic advisor throughout their degree.
Careers:
- Graduates are prepared for roles such as:
- Data Analyst
- Data Engineer
- Business Data Analyst
- Database Administrator
- Data Scientist
- Software Engineer
- The program also prepares students for further study, such as a Masters degree.
Other:
- The University of Sussex is home to Sussex Artificial Intelligence, one of its Centres of Excellence, and the Data-Intensive Science Centre (DISCUS).
- Students have opportunities to engage with potential employers.
- The Careers and Entrepreneurship team can help students find part-time work while studying.
University of Sussex
Overview:
The University of Sussex is a leading, research-intensive university located in Brighton, UK. It is known for its commitment to academic excellence and its focus on creating a vibrant and diverse campus community.
Services Offered:
The university offers a wide range of services to its students, including:
Accommodation:
On-campus housing options are available for students, with various types of accommodation to suit different needs and budgets.Student Support:
The university provides comprehensive support services to students, including academic advising, career counseling, and mental health resources.Careers:
The university offers career services to help students find internships, graduate jobs, and develop their career skills.Library:
The university library provides access to a vast collection of books, journals, and online resources.IT Services:
Students have access to a range of IT services, including computer labs, wireless internet, and online learning platforms.Student Life and Campus Experience:
Students at the University of Sussex can expect a vibrant and engaging campus experience. The university offers a wide range of clubs, societies, and sports teams for students to join. The campus is located in a beautiful setting, with easy access to the city of Brighton.
Key Reasons to Study There:
Research Excellence:
The university is renowned for its research excellence, with a strong focus on innovation and impact.World-Class Faculty:
The university boasts a world-class faculty, with experts in a wide range of fields.Vibrant Campus Community:
The university has a diverse and welcoming campus community, with a strong sense of belonging.Location:
The university is located in Brighton, a vibrant and cosmopolitan city with a thriving arts and culture scene.Academic Programs:
The university offers a wide range of undergraduate and postgraduate programs across various disciplines, including: