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Students
Tuition Fee
Per course
Start Date
Medium of studying
Fully Online
Duration
Program Facts
Program Details
Degree
Courses
Major
Applied Mathematics | Numerical Analysis | Operational Research
Area of study
Mathematics and Statistics
Education type
Fully Online
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2023-09-012023-07-09
2024-01-012023-11-26
About Program

Program Overview


Course overview

The government has provided funding for this course, independent of any previous or current funding you may have for educational purposes. You can apply for short course funding if you are currently in education, or already qualified to degree, master’s or PhD level. If you are funding this course with a student loan you also need to meet student loan eligibility criteria. Find out more about short course loans

This course is part of a series of short courses to develop your skills in sustainable engineering, digital engineering, sustainable manufacturing, Industry 4.0 and process automation.

You develop the knowledge and skills needed by employers and the economy.

This course is ideal if you are:

  • a school or further education college leaver wanting to explore a subject before committing to a full degree
  • unemployed and wanting to develop skills to improve your employability
  • a teacher looking to refresh your knowledge in a subject, or to learn new skills
  • in work and your performance can be enhanced by learning new knowledge and skills
  • returning to education after a break
  • currently in higher education and would like to compliment your skillset with additional knowledge and skills.
  • If you are funding this course with a student loan you also need to meet student loan eligibility criteria.

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    Program Outline


    Engineering Mathematics Applications (Online), UCPD, Online learning course


    Degree Overview:


    The Engineering Mathematics Applications (Online) program is a 12-week online course offered by Teesside University.

    It is designed to equip students with the fundamental mathematical skills and techniques needed to solve engineering problems, focusing on differentiation, integration, and numerical methods. The course is ideal for:

    • School or further education college leavers exploring a subject before committing to a full degree
    • Unemployed individuals looking to develop skills for improved employability
    • Teachers seeking to refresh or acquire new skills
    • Employed individuals enhancing performance through new knowledge and skills
    • Those returning to education after a break
    • Students looking to complement their existing skillset

    Outline:

    The program consists of:

    • Subject knowledge: Acquiring knowledge in fundamental mathematical operations like differentiation, integration, and numerical methods.
    • Critical thinking: Developing critical thinking skills to apply these techniques to engineering problems.
    • Skills acquisition: Building practical skills in using these techniques for problem-solving.

    Assessment:

    Students are assessed through a combination of coursework, practical work, and assessments focusing on:

    • Subject knowledge: Demonstrating comprehension and understanding of the mathematical concepts and techniques.
    • Critical thinking: Applying acquired knowledge to analyze and solve engineering problems.
    • Skills acquisition: Successfully implementing the learned techniques in practical scenarios.

    Teaching:

    • Online lectures: One-hour recorded lectures are available each week.
    • Live online classes: Two-hour live online classes are conducted on Wednesdays from 4:00 PM to 6:00 PM and Thursdays from 6:00 PM to 8:00 PM during weeks 1-10.
    • Weeks 11-12 have two-hour synchronous online classes on Thursdays from 6:00 PM to 8:00 PM.
    • Personalized support: The program provides personalized support plans to meet individual needs and facilitate learning.
    • Regular assessment feedback: Opportunities for regular feedback on assessments and tasks are offered throughout the program.

    Careers:

    The program aligns with employer needs and develops relevant skills, offering excellent career opportunities. Completing the program prepares individuals for careers in various fields related to engineering and mathematics.


    Other:

    • The program is delivered through Brightspace Learning Environment, offering online access to lectures, tutorials, assessments, and learning materials.
    • The program runs for 12 weeks, requiring approximately 400 hours of learning.
    • Funding is available through the government, independent of previous educational funding.
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    Tuition Fees and Payment Information:


    Part-time

    • Fee for applicants: £1,500
    • Fee for international applicants: £1,500

    Payment:

    • Information about payment options is not provided in the context.

    Currency:

    • The currency for the fees is British Pound (£).

    Other Information:

    • The course start date is January 24, 2024.
    • The course length is 12 weeks.

    Note:

    This information is extracted from the provided context as of October 26, 2023. It is recommended to check the official website of Teesside University for the most up-to-date information on tuition fees and payment options.

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