MSc International Relations
The MSc International Relations program at the University of East London is designed to...
BSc (Hons) Data Science and Artificial Intelligence
London
INTAKE: Jan & Sept
Program Overview
The BSc (Hons) Data Science and Artificial Intelligence program at the University of East London (UEL) offers students a cutting-edge education in the rapidly evolving fields of data science and artificial intelligence (AI). This undergraduate degree is designed to provide students with the knowledge, skills, and practical experience needed to analyze large datasets, develop machine learning models, and harness the power of AI technologies to solve complex problems across various industries. Through a combination of theoretical study, hands-on projects, and industry collaborations, students gain expertise in data analysis, machine learning algorithms, programming languages, and AI applications.
Curriculum: The curriculum of the BSc (Hons) Data Science and Artificial Intelligence program at UEL covers a wide range of topics essential for understanding and applying data science and AI techniques. Core modules introduce students to statistical methods, data visualization, machine learning algorithms, deep learning, natural language processing, and computer vision. Students also learn programming languages such as Python and R, data manipulation tools like SQL and TensorFlow, and software development methodologies for building AI-driven applications. Additionally, the program emphasizes the development of practical skills through project-based learning, allowing students to apply their knowledge to real-world problems and datasets.
Research Focus: UEL fosters a strong research focus within the BSc (Hons) Data Science and Artificial Intelligence program, encouraging students to engage with cutting-edge research findings and methodologies in data science and AI. Faculty members are actively involved in research projects that explore topics such as predictive analytics, pattern recognition, autonomous systems, and ethical AI. Through research-led teaching, students have the opportunity to explore these topics in depth, develop critical thinking skills, and contribute to the advancement of knowledge in data science and AI. Additionally, students have the opportunity to undertake their own research projects, allowing them to apply their skills to address real-world challenges and make meaningful contributions to the field.
Industry Engagement: The BSc (Hons) Data Science and Artificial Intelligence program at UEL emphasizes close collaboration with industry partners, tech companies, and startups to ensure that students gain practical experience and insights into real-world data science and AI practices. Students have the opportunity to participate in internships, work placements, and industry projects, allowing them to work on projects with industry mentors, solve business problems, and gain hands-on experience with cutting-edge technologies and tools. Additionally, the program is designed in collaboration with industry experts, ensuring that the curriculum remains relevant and aligned with industry needs and trends.
Global Perspective: As a diverse and multicultural institution, UEL offers students a global perspective on data science and AI, recognizing the global impact and applications of these technologies across various industries and sectors. The program incorporates case studies, examples, and perspectives from around the world, allowing students to understand the global context in which data science and AI are used to address complex problems and drive innovation. Additionally, UEL offers opportunities for international study exchanges, research collaborations, and industry placements, enabling students to gain insights into different cultural, regulatory, and technological environments shaping the future of data science and AI on a global scale.
Location
London
Score
IELTS 6
Tuition Fee
£ 13920
Undergraduate Entry Requirements
Academic Qualifications: International students applying for undergraduate programs at UEL should have a minimum of 60% or equivalent in their high school or secondary school qualifications. This percentage requirement may vary depending on the program of study, so it is advisable to check the specific entry requirements for the desired course.
English Language Proficiency:
- IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 5.5.
- TOEFL: A minimum overall score of 72, with at least 16 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 64 with no individual score below 50.
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 East London (UEL) is providing financial support to international students through a range of scholarship opportunities. These scholarships are designed to recognize academic excellence, promote diversity, and help deserving students pursue their educational goals.
International Scholarship: UEL offers the International Scholarship to outstanding international students who demonstrate academic excellence. The scholarship provides a reduction in tuition fees and is available for both undergraduate and postgraduate students. The eligibility criteria and application process vary, so interested students are advised to visit the university's official website for detailed information.
Vice-Chancellor's Excellence Scholarship: This prestigious scholarship is awarded to international students who have achieved exceptional academic results. The scholarship covers a portion of the tuition fees and is available for both undergraduate and postgraduate programs. Eligible students are automatically considered for this scholarship upon their application to UEL.
Country-Specific Scholarships: UEL offers scholarships specifically tailored to students from certain countries or regions. These scholarships aim to promote cultural diversity and enhance the international student community at UEL. The eligibility criteria, application process, and scholarship amounts vary depending on the specific scholarship scheme. Interested students can refer to the university's website or contact the International Office for more information.
External Scholarships and Sponsorships: UEL also encourages international students to explore external scholarship opportunities and sponsorships. These scholarships may be offered by governments, organizations, or foundations in students' home countries or other sources. The university's International Office provides support and guidance to help students identify and apply for external scholarships.
It is important to note that scholarship availability, eligibility criteria, and application deadlines may vary each year.
Graduates of the BSc (Hons) Data Science and Artificial Intelligence program at the University of East London (UEL) are well-equipped to pursue exciting and high-demand careers in various sectors that require expertise in data science and artificial intelligence (AI).
Data Scientist: Graduates can work as data scientists for companies, government agencies, research institutions, or consulting firms, analyzing large datasets, developing machine learning models, and extracting insights to inform business decisions, product development, or policy-making. They may specialize in areas such as predictive analytics, data visualization, natural language processing, or computer vision.
Machine Learning Engineer: Graduates can pursue careers as machine learning engineers for technology companies, startups, or research labs, designing and implementing machine learning algorithms and systems to solve complex problems and automate tasks in areas such as recommendation systems, autonomous vehicles, or fraud detection. They may work with programming languages like Python, R, or TensorFlow and collaborate with cross-functional teams to deploy AI solutions.
AI Researcher: Graduates can work as AI researchers for academic institutions, AI research labs, or tech companies, conducting research and development to advance the state-of-the-art in artificial intelligence, machine learning, and deep learning. They may explore topics such as reinforcement learning, generative adversarial networks, or explainable AI and publish their findings in academic journals and conferences.
Data Engineer: Graduates can work as data engineers for companies or organizations that manage large volumes of data, designing and implementing data pipelines, databases, and infrastructure to collect, store, and process data efficiently and securely. They may work with big data technologies such as Hadoop, Spark, or Kafka and collaborate with data scientists and analysts to ensure data quality and accessibility.
Business Intelligence Analyst: Graduates can work as business intelligence analysts for companies, helping organizations make data-driven decisions by analyzing internal and external data, creating reports and dashboards, and identifying trends, patterns, and insights that drive business performance and strategy. They may use tools such as Tableau, Power BI, or SQL to visualize and communicate data findings to stakeholders.
AI Product Manager: Graduates can work as AI product managers for technology companies or startups that develop AI-powered products and services, overseeing the entire product lifecycle from ideation to launch and beyond. They collaborate with cross-functional teams to define product requirements, prioritize features, and ensure that AI solutions meet customer needs and business objectives.
Data Privacy and Ethics Consultant: Graduates can work as data privacy and ethics consultants for companies, advising on ethical considerations, regulatory compliance, and risk management related to data collection, storage, and use. They may help organizations develop data governance policies, conduct privacy impact assessments, and ensure compliance with data protection laws such as GDPR or CCPA.
AI Policy Analyst: Graduates can work as AI policy analysts for government agencies, non-profit organizations, or think tanks, researching and analyzing policy issues related to artificial intelligence, data governance, and technology regulation. They may contribute to the development of ethical guidelines, best practices, and regulatory frameworks that govern the responsible use of AI in society.
