BSC (HONS) DATA SCIENCE & ARTIFICIAL INTELLIGENCE
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DURATION
3 years (Full–time)
LANGUAGE
100% in English
LOCATION
BUV Campus, Ecopark
AWARDED BY
University of Stirling
KEY ENTRY REQUIREMENTS
For full entry requirement details, please check the detailed entry requirement section.
DURATION
3 years (Full–time)
LANGUAGE
100% in English
LOCATION
BUV Campus, Ecopark
AWARDED BY
University of Stirling
KEY ENTRY REQUIREMENTS
For full entry requirement details, please check the detailed entry requirement section.
ABOUT THE PROGRAMME
The BSc (Hons) Data Science and Artificial Intelligence is a taught bachelor's degree covering data science technology, advanced analytics and deep learning approaches, alongside industrial and scientific applications taught with a hands–on approach. Students leverage cutting-edge technologies such as Python and NoSQL.
YOUR LEARNING PATH
This module is intended for students who wish to acquire skills in computer programming and an understanding of the principles underlying computer systems and networks. It is compulsory for students entering degree programmes involving computer sciences, software engineering and information systems.
This is a core module for computing science students but is open to anyone with an interest in mathematics who has at least a standard grade (or equivalent in mathematics).
This module is designed to equip students with the foundational Python coding skills necessary to excel in data science and numerical analysis.
Upon completion of this module, students will have gained a fundamental understanding of Python programming and be able to apply these skills to data science and numerical analysis tasks. With the increasing demand for data–driven decision–making in today's workforce, this module is an excellent opportunity to enhance their employability and gain a competitive edge.
This module extends and deepens the study of Java programming. Students will learn how to develop a good user interface design for desktop applications and for web sites covering principles, practical guidelines and the legal, ethical and practical issues of accessibility for the disabled.
In this module, students will start covering the principles of data science, learn how to apply such principles to solve data science problems, and, consequently, further develop their problem–solving skills.
Given the amount of data that is being generated in almost every field of life and human activity, statistics is becoming an essential skill to any scientist. This module aims to provide students with an understanding of the statistical methodology used to describe, summarise and analyse data; alongside hands–on practical statistics skills for the analysis of real–world data.
DISTINCTIVE EXPERIENCE
The BSc (Hons) Data Science and Artificial Intelligence is a taught bachelor's degree covering data science technology, advanced analytics, and deep learning approaches, alongside industrial and scientific applications taught with a hands–on approach.
Students will develop an awareness of technological issues in professional settings, such as privacy, security, and communicating about technology with audiences from non–tech backgrounds. Students can expect to acquire competitive advantages and employment opportunities thanks to the focus on practical in–demand expertise within the curriculum.
Aside from technologically scientific and computer–centric concepts, the programme also provides students with tools for personal innovation, such as problem solving, reflective and critical thinking, and the ability to identify opportunities.
Upon learning the fundamentals of using systems for data manipulation and analysis, students will then be able to apply the acquired skills and knowledge to develop new technologies and processes.
LEARNING OUTCOMES
Creative problem-solving skills to find the best applications for the technology and skills students have acquired.
An ability to develop technical solutions using a range of modern computing technologies including:
An ability to communicate complex technical ideas from both computing and data science to audiences with varied backgrounds. Students will need to be able to tell stories about customers, systems, data and business in a coherent way.
Confidence working with new technologies and in challenging business environments.
An appreciation of the sensitivities and security requirements around the use of personal data with particular emphasis on the implications of new technology being introduced in those sectors.
A global perspective to understand the global data science field.
A willingness to embrace new ideas and win over people whose views are different.
A strong ethical grasp of the issues around privacy, security and automated decision making.
CAREER PROSPECTS
Students who study Data Science and Artificial Intelligence will place themselves at the forefront of a thriving sector which has seen huge recent demand for data scientists. Some of the employment routes students may take include, but are not limited to:
With the advantage of practical training, real-world knowledge and internship opportunities from an early stage, graduates can gain traction to gradually rise towards senior roles in aforementioned routes.
YOUR QUALIFICATION
Founded in 1967, the University of Stirling is committed to education with a purpose and research with impact. It is ranked top 20 in the UK for computer science and information systems, and 87% of its research has an outstanding or very considerable impact on society.
All majors at BUV require completion of a foundation/pathway programme beforehand. The only exception is for students on certain international curricula who meet the partner university's required scores for exemption; such cases are assessed individually by the Academic Affairs team.
The university requires completion of high school (Grade 12), but does not set any minimum grade requirement.
Yes, but the change must be made before July of the intake year. Changes requested after this date incur a programme-change fee of VND 2,000,000, payable to the university.
BUV follows the UK education system, so a Vietnamese high school diploma is not mandatory. Applicants must instead demonstrate completion of the equivalent of Grade 12, which can be shown through any of the following BUV-accepted qualifications:
All special cases require approval from the university's Academic Affairs department and depend on the specific programme and degree-awarding partner, so your child can submit their existing qualifications for the Admissions team to advise on the most suitable pathway.
Yes, English-language requirements vary by programme, as follows:
