Data Science and Analytics with Foundation BSc Honours

Program Overview

The Data Science and Analytics with Foundation BSc Honours program at the University of Westminster is a four-year program designed for students without the typical degree-level qualifications who want to specialize in data science and analytics. The program equips students with the knowledge and skills necessary to collect, store, prepare, analyze, and visualize data using various mathematical, statistical, and computer science techniques. Students also have the opportunity to complete a year-long placement after their second year of study, providing valuable real-world experience that enhances their employability. The program is accredited by the British Computer Society (BCS).

Program Outline

The program is designed for students who may not be ready for degree-level study, lack the necessary qualifications, wish to change their subject specialism, or return to education after a break. The program's objectives are to:

• Develop knowledge of the fundamental principles and technologies underpinning mathematics, statistics, and computing, with an emphasis on data science and analytics skills and theories.
• Teach students how to apply cutting-edge mathematical, statistical, and computer science techniques and tools to collect, store, prepare, analyze, and visualize data.
• Provide students with the ability to analyze and understand organizational operations, environments, and related issues.
• Offer a short-term work-based learning experience where students work on a real-life problem set by an external organization.
• Provide the opportunity for students to complete a year in industry (work placement) after completing the second year of study.

Outline:

The program is structured as follows:

Foundation Year (Level 3):

• Subjects of study include:
• Computer Systems and Networks
• Critical Thinking for Academic and Professional Development
• Foundation Mathematics
• Introduction to Academic Practice
• Programming

Year 1 (Level 4):

• Subjects of study include:
• Applied Mathematics
• Database design and Implementation
• Requirements Modelling
• Software Development
• Statistical Modelling and Analysis

Year 2 (Level 5):

• Subjects of study include:
• Business Analytics
• Data Engineering
• Data Science Project Lifecycle
• Data Visualisation and Communication
• Machine Learning and Data Mining
• Algorithms: Theory, Design and Implementation
• Database Systems
• Object-oriented Programming

Placement Year (Level 5):

• Students have the opportunity to complete a year in industry (work placement) after completing the second year of study.
• The placement year helps students gain work experience and enhance their employability.
• The Careers and Employability Service and the course team provide support in finding and securing placement opportunities.
• Students are typically assigned roles involving tasks related to data science and analytics.

Year 3 (Level 6):

• Subjects of study include:
• Data Science and Analytics Final Project
• Data Visualisation and Dashboarding
• Operational Research and Optimisation
• Applied AI
• Big Data Analytics
• Customer Relationship and Change Management (CRM & CM) with Business Intelligence
• Digital Marketing, Social Media and Web Analytics

Assessment:

The program utilizes a variety of assessment methods, including:

• Practical: Presentations, videos, podcasts, lab work, creating artifacts
• Written exams: End of semester exams
• Coursework: Essays, reports, in-class tests, portfolios, dissertation
The specific assessment methods and criteria for each module are outlined in the program specification.

Teaching:

The program employs a variety of teaching methods, including:

• Lectures
• Seminars
• Workshops
• Problem-based learning
• Blended learning
• Practical application
The program is taught by a team of experienced faculty members, including:
• Noam Weingarten, Senior Lecturer
• Dr Salma Chahed, Senior Lecturer
• Dr Fang He, Senior Lecturer
• Dr Vasileios Kontogiannis, Reader
• Huseyin Dagdeviren, Senior Lecturer
• Dr Panagiotis Chountas, Principal Lecturer
• Professor Thierry Chaussalet, Staff
• Francois Roubert, Senior Lecturer
• Dr Olivier Moullard, Senior Lecturer

Careers:

Graduates of the Data Science and Analytics BSc program are prepared for a variety of roles in the data science and analytics field, including:

• Business intelligence analyst/manager
• Data analyst/manager
• Data engineer
• Data scientist
• Operational research analyst/manager
The program's focus on real-world problem-solving and work-based learning equips graduates with the skills and knowledge needed to make an immediate impact in any organization.

Other:

• The program is intended to fulfill the educational requirements of the British Computer Society (BCS) for registration as a Chartered IT Professional (CITP) and partial Chartered Engineer (CEng).
• Students qualify for free British Computer Society (BCS) academic membership for the duration of their studies.
• The program is offered at the University of Westminster's Cavendish Campus, located in central London.
• The program is accredited by the British Computer Society (BCS).

• UK Fees: £9,250 (Price per academic year)
• International Fees: £17,000 (Price per academic year)
• Non EU students will be charged international fees.
• Your annual tuition fees will remain the same throughout your studies with us.
We do not increase your tuition fees each year.
• Additional costs