Undergraduate Certificate in Quantitative Methods in Data Science

Thursday, 12 February 2026 16:04:48

International applicants and their qualifications are accepted

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Overview

Overview

Quantitative Methods in Data Science


Develop a strong foundation in data analysis and interpretation with our Undergraduate Certificate in Quantitative Methods in Data Science.


Designed for students and professionals looking to enhance their skills in data-driven decision making, this program covers essential topics such as statistical modeling, machine learning, and data visualization.


Some of the key areas of focus include:

data mining, predictive analytics, and data quality control.


Gain practical experience with real-world datasets and learn to communicate complex insights effectively to both technical and non-technical stakeholders.


Take the first step towards a career in data science and explore our Undergraduate Certificate in Quantitative Methods in Data Science today.

Quantitative Methods are at the heart of data science, and our Undergraduate Certificate in Quantitative Methods in Data Science will equip you with the skills to unlock insights from complex data sets. By mastering quantitative methods, you'll gain a competitive edge in the job market, with career prospects in data analysis, machine learning, and business intelligence. Our course features data-driven decision making and statistical modeling, ensuring you're equipped to tackle real-world challenges. With a focus on practical applications, you'll work on projects that drive business value, and our industry connections guarantee job placements.

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


Statistical Inference • Statistical Analysis • Probability Theory • Data Visualization •
Machine Learning Algorithms •
Data Mining Techniques •
Programming for Data Science (Python, R) •
Data Wrangling and Preprocessing •
Data Communication and Storytelling •
Big Data Analytics

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

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

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Undergraduate Certificate in Quantitative Methods in Data Science

The Undergraduate Certificate in Quantitative Methods in Data Science is a specialized program designed to equip students with the necessary skills and knowledge to succeed in the field of data science.
This program focuses on teaching students how to collect, analyze, and interpret complex data using various statistical and computational methods.
Upon completion of the program, students will be able to apply quantitative methods to real-world problems and make informed decisions using data-driven insights.
The learning outcomes of this program include the ability to design and implement data analysis projects, develop predictive models, and communicate results effectively to both technical and non-technical stakeholders.
The duration of the program is typically one year, although this may vary depending on the institution and the student's prior experience.
The Undergraduate Certificate in Quantitative Methods in Data Science is highly relevant to the data science industry, as it provides students with the skills and knowledge needed to work with large datasets, develop predictive models, and drive business decisions.
Many industries, including finance, healthcare, and marketing, rely heavily on data science to inform their operations and strategy.
Graduates of this program can expect to find employment opportunities in data analysis, business intelligence, and data science, with median salaries ranging from $60,000 to over $100,000 depending on the location and industry.
Overall, the Undergraduate Certificate in Quantitative Methods in Data Science is an excellent choice for students looking to launch a career in data science or advance their existing skills in this field.

Why this course?

The Undergraduate Certificate in Quantitative Methods in Data Science has become increasingly significant in today's market, particularly in the UK. According to a report by the Higher Education Statistics Agency (HESA), there was a 25% increase in the number of students taking data science courses in the UK between 2015 and 2019.
Year Number of Students
2015 2,500
2016 3,125
2017 3,750
2018 4,375
2019 5,000
The increasing demand for data science professionals is driven by the growing need for businesses to make data-driven decisions. According to a survey by the Chartered Institute of Marketing, 75% of marketers believe that data science will be a key skill for their profession in the next five years.

Who should enrol in Undergraduate Certificate in Quantitative Methods in Data Science?

Primary Keyword: Data Science Ideal Audience
Individuals with a strong foundation in mathematics and statistics, particularly those with a degree in Computer Science, Mathematics, or Statistics, are well-suited for this course. They are likely to be in their final year of undergraduate studies or have recently completed a degree, with a keen interest in applying quantitative methods to real-world problems.
In the UK, a survey by the Higher Education Statistics Agency (HESA) found that in 2020, 14,490 students graduated with a degree in Computer Science, while 6,440 graduated with a degree in Mathematics. This highlights the growing demand for data science professionals in the UK job market. Prospective learners should be comfortable with programming languages such as Python, R, or SQL, and have a basic understanding of data visualization tools like Tableau or Power BI.
By the end of this course, learners will gain practical skills in data analysis, machine learning, and visualization, making them attractive candidates for entry-level positions in data science, business intelligence, or related fields. With a growing need for data-driven decision-making in various industries, this course provides a valuable opportunity for individuals to kick-start their careers in data science and quantitative methods.