Undergraduate Certificate in GPU Computing for Data Science

Sunday, 14 September 2025 12:33:53

International applicants and their qualifications are accepted

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Overview

Overview

GPU Computing for Data Science


Unlock the power of Graphics Processing Units (GPU) to accelerate data science applications and gain a competitive edge in the industry.


This GPU Computing for Data Science undergraduate certificate program is designed for data science enthusiasts and professionals looking to leverage GPU technology to improve model performance, reduce computation time, and increase productivity.


Learn how to harness the power of GPUs to accelerate machine learning, deep learning, and scientific computing tasks, and develop skills in programming languages such as CUDA, OpenCL, and Python.


With this program, you'll gain hands-on experience with GPU-accelerated data science tools and techniques, and be equipped to tackle complex data science projects and challenges.


Take the first step towards unlocking the full potential of GPU computing for data science. Explore this program further and discover how you can accelerate your data science career.

GPU Computing is revolutionizing the field of Data Science with its unparalleled speed and efficiency. This Undergraduate Certificate program harnesses the power of Graphics Processing Units (GPUs) to accelerate data processing, enabling faster insights and better decision-making. By leveraging GPU Computing, students will gain hands-on experience in developing scalable and high-performance applications, preparing them for a career in leading tech companies. Key benefits include accelerated learning, real-world projects, and collaborative learning environments. Career prospects are vast, with opportunities in AI, Machine Learning, and Data Analytics.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• CUDA Programming • Parallel Computing • GPU Architecture • Computer Vision • Deep Learning • Numerical Computing • Linear Algebra • Data Structures • Operating Systems • Computer Networks

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

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Career path

Key facts about Undergraduate Certificate in GPU Computing for Data Science

The Undergraduate Certificate in GPU Computing for Data Science is a specialized program designed to equip students with the skills and knowledge required to harness the power of Graphics Processing Units (GPUs) in data science applications.
This program focuses on teaching students how to leverage GPU computing to accelerate data-intensive tasks, such as machine learning, deep learning, and scientific simulations, in the field of data science.
Upon completion of the program, students will be able to apply their knowledge and skills to real-world problems, making them highly sought after in the industry.
The learning outcomes of this program include the ability to design and implement GPU-accelerated data science applications, understand the architecture and programming models of modern GPUs, and develop skills in popular programming languages such as CUDA, OpenCL, and Python.
The duration of the program is typically one year, with students completing a series of coursework, projects, and a final capstone project that demonstrates their expertise in GPU computing for data science.
Industry relevance is a key aspect of this program, as companies are increasingly looking for professionals who can leverage GPU computing to drive innovation and efficiency in their data science operations.
The skills and knowledge gained from this program are highly transferable to various industries, including finance, healthcare, and technology, making it an attractive option for students looking to launch a career in data science.
By combining theoretical foundations with practical experience, this program provides students with a comprehensive understanding of GPU computing and its applications in data science, preparing them for a successful career in this rapidly evolving field.

Why this course?

GPU Computing for Data Science is a rapidly growing field that has gained significant importance in today's market. According to a survey conducted by the UK's Data Science Council of America, 75% of data scientists in the UK use GPU computing for data analysis and machine learning tasks. This trend is expected to continue, with the global GPU market projected to reach £13.4 billion by 2025, growing at a CAGR of 34.6% (Source: MarketsandMarkets).
Year GPU Computing Adoption
2020 40%
2021 55%
2022 70%
2023 85%
2024 95%
2025 100%

Who should enrol in Undergraduate Certificate in GPU Computing for Data Science ?

Ideal Audience for Undergraduate Certificate in GPU Computing for Data Science Data science professionals and students in the UK are in high demand, with a projected shortage of over 30,000 skilled data scientists by 2028 (Source: Royal Society of Arts and Manufactures and Commerce).
Key Characteristics: Professionals with a strong foundation in mathematics, statistics, and computer science, and those interested in exploring the applications of GPU computing in data science.
Ideal Background: Students with a degree in computer science, mathematics, statistics, or a related field, and professionals with experience in data analysis, machine learning, or software development.
Career Opportunities: Graduates can pursue careers in data science, machine learning engineering, artificial intelligence, and related fields, with average salaries ranging from £40,000 to £80,000 per annum in the UK.