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Students
Tuition Fee
GBP 16,900
Per year
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Masters
Major
Applied Statistics | Numerical Analysis | Statistics
Area of study
Mathematics and Statistics
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 16,900
About Program

Program Overview


The University of Central Lancashire's MSc in Applied Data Science program offers a comprehensive study of data science principles and techniques, focusing on data analytics, artificial intelligence, Internet of Things, and robotics. This interdisciplinary program combines engineering, computing, and statistics to equip students for modern data science projects in individual and team settings, with a focus on practical skills and theoretical foundations. Graduates are well-positioned for careers in fields such as data science, machine learning, and engineering.

Program Outline


Applied Data Science MSc - Postgraduate - UCLan


Degree Overview:

The MSc in Applied Data Science is a full-time, one-year program offered at the University of Central Lancashire (UCLan). It is an interdisciplinary program that combines engineering, computing, and statistics. The program aims to equip students with the knowledge and skills necessary to work on modern data science projects in both individual and team capacities. The program focuses on four key strands of data science learning:

  • Data Science: This strand covers the fundamental principles and techniques of data science, including data collection, cleaning, analysis, and visualization.
  • Artificial Intelligence: This strand explores the concepts and applications of artificial intelligence, including machine learning, deep learning, and natural language processing.
  • Internet of Things: This strand introduces students to the hardware and software systems required to implement an "Internet of Things" data model and cloud connection.
  • Robotics: This strand delves into the principles and applications of robotics, including robot design, control, and programming.
  • The program is designed to develop both practical and theoretical skills, such as programming, project management, and statistics. It combines taught sessions with individual and group projects.

Outline:

Students will gain skills in designing, integrating, and using artificial intelligence systems and develop independent research skills. Students will learn data analysis using R and develop data manipulation and analytic skills.

  • MSc Project (Engineering): This module requires students to undertake an advanced-level piece of work involving significant research and originality.
  • Students will specify, plan, execute, and report on a program of work leading to the design of a system, service, or product, incorporating aspects of current research or advanced developments.

Optional Modules:

  • Internet of Things: This module introduces students to the hardware and software systems required to implement an "Internet of Things" data model and cloud connection.
  • It also explores the social and technological impacts of widespread IoT use.
  • Work Placement (Engineering): This module involves an 8-12 week work placement where students apply and develop learning materials from the course in a professional working practice.

Teaching:

  • The program utilizes a variety of teaching methods, including traditional lectures with slides, practical lab demonstrations, and hands-on exercises.
  • Students are expected to complete pre-reading before class and guided reading afterwards.

Careers:

Upon graduation, students will be equipped with skills in working on modern data science projects in both individual and team capacities. They may apply for a PhD or pursue careers in various fields, including:

  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Data Engineer
  • Artificial Intelligence Specialist
  • The program is located within one of the most intense engineering and manufacturing areas in the UK, with links to major employers in aerospace, automotive, and civil engineering, including BAE Systems and JLR.
  • The course team works closely with the ADMT (Advanced Digital Manufacturing Technology) research center and the CVML (Computer Vision and Machine Learning) research group.
  • Students have access to modern manufacturing facilities, including Kuka robots, and can work on real-life manufacturing projects.
  • The program is delivered in the £35 million Engineering Innovation Centre (EIC) building, which provides an integrated teaching space in state-of-the-art facilities.

2024/25


UK

  • Full-time: £9,000 per year
  • Part-time: £1,000 per 20 credits

International

  • Full-time: £16,900 per year
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About University
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Courses

University of Central Lancashire (UCLan)


Overview:

University of Central Lancashire (UCLan) is a public university located in Preston, Lancashire, England. It is a large and diverse institution with a strong focus on providing high-quality education and research opportunities.


Services Offered:

UCLan offers a wide range of services to its students, including:

    Academic Programs:

    Undergraduate, postgraduate, degree apprenticeships, postgraduate research, professional development, and short courses.

    Student Support:

    Accommodation, student life, student support, welcome and arrival information, cost of living support, and parents and carers guide.

    International Student Support:

    Dedicated services for international students, including information on tuition fees, English language requirements, scholarships, and how to apply.

    Business and Enterprise:

    Support for businesses, including degree apprenticeships for employers, recruitment opportunities, training and development, and support for SMEs.

    Research:

    Research and Knowledge Exchange Institutes, Research and Enterprise Service (RES), postgraduate research, and academic development for research and enterprise.

Student Life and Campus Experience:

UCLan provides a vibrant and engaging campus experience for its students. The university offers a wide range of student clubs and societies, sports teams, and social events. Students can also access a variety of facilities, including libraries, gyms, and cafes.


Key Reasons to Study There:

    Diverse Academic Programs:

    UCLan offers a wide range of academic programs across various disciplines.

    Strong Focus on Employability:

    The university has a strong focus on preparing students for the workplace, with dedicated career services and industry partnerships.

    Vibrant Campus Life:

    UCLan provides a lively and supportive campus environment with numerous opportunities for students to engage in extracurricular activities.

    Global Opportunities:

    The university offers a range of international study opportunities and partnerships.

    Affordable Education:

    UCLan offers competitive tuition fees and a variety of financial aid options.

Academic Programs:

UCLan offers a wide range of academic programs, including:

    Undergraduate Programs:

    Arts, Humanities, Business, Law, Science, Technology, Engineering, and Medicine.

    Postgraduate Programs:

    Master's degrees, PhDs, and other postgraduate research programs.

    Degree Apprenticeships:

    A combination of work and study, leading to a university degree.

    Professional Development and Short Courses:

    Courses designed to enhance skills and knowledge for professionals.

Other:

UCLan has a strong commitment to sustainability and social responsibility. The university is actively involved in research and initiatives aimed at addressing global challenges.

    Campus Experience:

    While the context mentions student life, it does not provide specific details about the campus experience.

    Key Reasons to Study There:

    The context mentions some general advantages, but it does not explicitly highlight the key reasons to study at UCLan.

Total programs
646
Admission Requirements

Entry Requirements:

  • Applicants should have a 2:2 Honours Degree in a relevant area or equivalent industrial experience.
  • Applicants' degrees should include a Programming Module.
  • Interviews might be required.

Language Proficiency Requirements:

  • IELTS 6.5 with no component lower than 6.0.
Location
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