Graduate Certificate in Mobile and Web Data Science

Wednesday, 11 February 2026 08:10:30

International applicants and their qualifications are accepted

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Overview

Overview

Mobile and Web Data Science

is a field that combines data analysis with mobile and web technologies to extract insights from large datasets. This field is in high demand, and professionals with expertise in Mobile and Web Data Science are in high demand.

Our Graduate Certificate in Mobile and Web Data Science program is designed for individuals who want to gain the skills and knowledge needed to succeed in this field. The program covers topics such as data mining, machine learning, and data visualization, as well as mobile and web development.

Some of the key skills you will learn include data analysis, data visualization, and machine learning algorithms. You will also learn how to design and develop mobile and web applications using popular frameworks and tools.

Our program is ideal for individuals who have a background in computer science, statistics, or mathematics, but may not have experience in data science. The program is also suitable for professionals who want to transition into a data science role.

By completing our Graduate Certificate in Mobile and Web Data Science program, you will gain the skills and knowledge needed to succeed in this field. You will be able to extract insights from large datasets, design and develop mobile and web applications, and drive business decisions with data-driven insights.

So why wait? Explore our Graduate Certificate in Mobile and Web Data Science program today and start your journey to a career in data science.

Data Science is at the forefront of the digital revolution, and this Graduate Certificate in Mobile and Web Data Science will equip you with the skills to harness its power. By combining data science with mobile and web development, you'll learn to extract insights from complex data sets and transform them into actionable intelligence. With Data Science expertise, you'll enjoy career prospects in top tech companies, driving business growth and innovation. This course features real-world projects, industry collaborations, and a focus on machine learning and data visualization tools. Unlock your potential in the Data Science industry with this comprehensive program.

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

•
Machine Learning for Mobile Applications •
Data Wrangling and Preprocessing for Web Development •
Mobile App Security and Privacy •
Natural Language Processing for Sentiment Analysis •
Web Data Mining and Visualization •
Big Data Analytics for Mobile and Web Applications •
Human-Computer Interaction for Mobile Devices •
Mobile and Web Data Science Tools and Technologies •
Data Storytelling and Communication for Data Scientists •
Ethics and Responsible AI in Mobile and Web Data Science

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

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 Graduate Certificate in Mobile and Web Data Science

The Graduate Certificate in Mobile and Web Data Science is a specialized program designed to equip students with the skills and knowledge required to extract insights from mobile and web data.
This program focuses on teaching students how to collect, process, and analyze data from various sources, including mobile devices and web applications.
Upon completion of the program, students will be able to apply data science techniques 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 data-driven solutions, work with big data technologies, and communicate complex data insights effectively.
The duration of the Graduate Certificate in Mobile and Web Data Science is typically one year, with students completing coursework and a capstone project over the course of the program.
The program is highly relevant to the industry, with a growing demand for professionals who can collect, analyze, and interpret data from mobile and web sources.
Graduates of this program can pursue careers in data science, business intelligence, and analytics, or work as consultants to help organizations make data-driven decisions.
The Graduate Certificate in Mobile and Web Data Science is offered by many top universities and institutions, providing students with a wide range of options for pursuing this specialized degree.
By combining the principles of data science with the unique characteristics of mobile and web data, this program provides students with a competitive edge in the job market.
The program's focus on practical skills and real-world applications ensures that students are well-prepared to tackle the challenges of working with mobile and web data in industry.

Why this course?

Graduate Certificate in Mobile and Web Data Science is a highly sought-after qualification in today's market, driven by the increasing demand for data-driven decision-making in various industries. According to a report by the UK's Office for National Statistics, the data science sector is expected to grow by 13% annually, creating over 13,000 new job opportunities by 2025.
Industry Job Opportunities
Finance and Banking 2,500
Healthcare 1,800
Retail and E-commerce 2,200

Who should enrol in Graduate Certificate in Mobile and Web Data Science?

Data Scientist Ideal Audience
Professionals with a strong foundation in statistics, mathematics, and computer science, looking to expand their skillset in mobile and web data science, are the primary target audience for this Graduate Certificate. Secondary keywords: data analysis, machine learning, programming languages such as Python, R, or SQL, and experience with data visualization tools like Tableau or Power BI.
In the UK, the demand for data scientists is on the rise, with the Royal Statistical Society predicting a 14% increase in employment opportunities by 2025, making this Graduate Certificate an attractive option for those looking to upskill and stay competitive in the job market. Individuals with a bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science, and those with relevant work experience in data analysis or a related field, are well-suited for this program.
The Graduate Certificate in Mobile and Web Data Science is designed to equip learners with the skills and knowledge necessary to extract insights from mobile and web data, making it an ideal choice for those looking to transition into a data science career or advance their existing career in this field. By the end of the program, learners can expect to gain expertise in data wrangling, machine learning, and data visualization, as well as a deeper understanding of the mobile and web data landscape and its applications.