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Students
Tuition Fee
GBP 4,670
Per course
Start Date
Medium of studying
On campus
Duration
2 months
Program Facts
Program Details
Degree
Diploma
Major
Artificial Intelligence | Data Science | Data Analytics
Area of study
Information and Communication Technologies
Education type
On campus | Blended
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 4,670
Intakes
Program start dateApplication deadline
2023-09-012023-07-09
2024-01-012023-11-26
2024-09-01-
2025-01-01-
About Program

Program Overview


This 12-week part-time program in AI and Machine Learning equips participants with the knowledge and skills to apply AI principles and techniques in business forecasting, data analysis, and decision-making. It targets individuals seeking career advancement, employability enhancement, or further education in AI and machine learning. The program offers a blended learning format with online lectures, face-to-face classes, and interactive sessions, and is funded by the government with financial support available for eligible students.

Program Outline


AI and Machine Learning for Transforming Businesses University Certificate in Professional Development


Degree Overview


Program Objectives

  • Explore the application of AI and machine learning in business forecasting, data analysis, and decision-making.
  • Develop skills and knowledge in key AI principles, concepts, methods, and algorithms.
  • Gain expertise in techniques and tools used in the field.
  • Enhance employability and career prospects in AI and machine learning.

Target Audience

  • School leavers interested in exploring AI before committing to a full degree.
  • Unemployed individuals seeking skills to improve their employability.
  • Teachers looking to refresh or acquire new skills in AI and machine learning.
  • Professionals looking to enhance their knowledge and skills for career advancement.
  • Individuals returning to education after a break.
  • Students in higher education seeking additional knowledge and skills in AI and machine learning.

Outline


Program Content

  • Key AI and machine learning principles, concepts, methods, and algorithms.
  • Techniques and tools for AI and machine learning.
  • Data analysis and business forecasting using AI and machine learning.
  • Decision-making based on AI insights.

Course Structure

  • 12 weeks duration.
  • Part-time program.
  • Blended learning format with online lectures, face-to-face classes, and online interactive sessions.
  • Weekly schedule:
  • Weeks 1-10:
  • One-hour recorded online lecture
  • Two-hour face-to-face class (Wednesdays, 4.00pm - 6.00pm)
  • Two-hour online class (Thursdays, 6.00pm - 8.00pm)
  • Weeks 11-12:
  • Two-hour synchronous online classes (Thursdays, 6.00pm - 8.00pm)
  • Modules:
  • Specific information about individual modules is not provided in the context.

Assessment


Assessment Methods

  • Coursework assignments.
  • Practical work.
  • Assessments.

Assessment Criteria

  • Subject knowledge.
  • Critical thinking.
  • Skills acquisition.

Teaching


Teaching Methods

  • Recorded online lectures.
  • Face-to-face classes.
  • Online interactive sessions.
  • Personalized support plans.
  • Regular feedback.

Faculty

  • Information about the faculty is not provided in the context.

Careers


Career Opportunities

  • This program prepares graduates for careers in various fields related to AI and machine learning, including:
  • Data analysis.
  • Business forecasting.
  • Decision-making.
  • Research and development.
  • Consulting.
  • Education and training.
  • The program also equips graduates with skills and knowledge to pursue further studies in AI and machine learning, such as a Master's degree.

Other

  • The program is funded by the government.
  • Eligible students can apply for short course funding.
  • Study Support Bursaries are available to support students overcoming barriers to study.
  • You can only enrol in one short course at a time.

Conclusion

The AI and Machine Learning for Transforming Businesses University Certificate in Professional Development is a comprehensive program that provides participants with the knowledge, skills, and experience needed to succeed in the rapidly growing field of AI and machine learning. The program's flexible format, experienced faculty, and career-focused curriculum make it an ideal choice for individuals seeking to advance their careers in this exciting field.

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About University
PhD
Masters
Bachelors
Diploma
Foundation
Courses

Teesside University


Overview:

Teesside University is a public university located in Middlesbrough, Tees Valley, England. It is known for its strong focus on student experience, research, and business partnerships. The university has invested heavily in its campus, offering modern facilities and a vibrant learning environment.


Services Offered:

Teesside University provides a wide range of services to its students, including:

    Undergraduate and postgraduate study:

    Offering a diverse selection of programs across various disciplines.

    Short courses and CPD:

    Providing opportunities for professional development and upskilling.

    Online learning:

    Delivering flexible and accessible learning options.

    International student support:

    Providing dedicated services for international students.

    Career services:

    Offering guidance and support for career planning and job searching.

    Student support services:

    Providing academic, personal, and financial support to students.

    Library and IT facilities:

    Offering access to extensive resources and technology.

    Accommodation services:

    Providing on-campus and off-campus accommodation options.

    Sports and recreational facilities:

    Offering a variety of sports and leisure activities.

Student Life and Campus Experience:

Teesside University prides itself on its close-knit and supportive community. Students can expect a vibrant campus life with:

    Social events and activities:

    Offering opportunities to connect with fellow students and engage in extracurricular activities.

    Student societies and clubs:

    Providing platforms for students to pursue their interests and develop their skills.

    Campus facilities:

    Including a modern library, sports facilities, and a variety of dining options.

    A welcoming and inclusive environment:

    Fostering a sense of belonging and diversity.

Key Reasons to Study There:

    Affordable excellence:

    Offering a high-quality education at a competitive price.

    Gold rating in the Teaching Excellence Framework (TEF):

    Recognized for its outstanding teaching and student experience.

    World-leading research:

    Conducting impactful research across various fields.

    Strong industry partnerships:

    Providing opportunities for students to gain practical experience and develop valuable connections.

    Vibrant and supportive community:

    Offering a welcoming and inclusive environment for students to thrive.

Academic Programs:

Teesside University offers a wide range of academic programs across six schools:

    School of Arts & Creative Industries

    School of Computing, Engineering & Digital Technologies

    School of Health & Life Sciences

    School of Social Sciences, Humanities & Law

    Teesside University International Business School

    University departments


Other:

    Campus Masterplan:

    Teesside University has invested £280 million in its campus to enhance the student experience and support the local community.

    Strong commitment to equality and diversity:

    Recognized as a top employer for its commitment to inclusivity.

    Nationally recognized for its services to business:

    Providing impactful partnerships with local and global organizations.

    Located in a vibrant and affordable region:

    Offering a unique blend of urban and rural experiences.

Total programs
627
Admission Requirements

Entry Requirements:

You must have completed a Level 5 qualification (or higher) and/or developed knowledge and skills in IT or computing. We offer bridging courses to help develop the knowledge you may need to join this short course.

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