Undergraduate Certificate in Software Engineering for Predictive Analytics

Tuesday, 16 December 2025 03:12:59

International applicants and their qualifications are accepted

Start Now     Viewbook

Overview

Overview

Software Engineering for Predictive Analytics


This program is designed for software engineers who want to develop predictive models and algorithms to drive business decisions.


Learn to apply machine learning techniques, data mining, and statistical modeling to extract insights from large datasets.


Gain expertise in programming languages such as Python, R, and SQL, and work with popular tools like TensorFlow and scikit-learn.


Develop a strong foundation in data structures, algorithms, and software design patterns.


Improve your career prospects in industries like finance, healthcare, and retail.


Take the first step towards a career in predictive analytics and explore this exciting field further.

Predictive Analytics is at the forefront of the software engineering landscape, and this Undergraduate Certificate in Software Engineering for Predictive Analytics will equip you with the skills to harness its power. By combining software engineering principles with predictive analytics techniques, you'll gain a competitive edge in the job market. With predictive analytics at its core, this course focuses on developing data-driven solutions that drive business growth. You'll learn from industry experts and work on real-world projects, gaining hands-on experience with tools like R, Python, and SQL. Upon completion, you'll be poised for a career in data science, business intelligence, or software development.

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

•
Data Preprocessing for Predictive Analytics •
Machine Learning Fundamentals •
Statistical Modeling for Predictive Analytics •
Programming in Python for Data Science •
Data Visualization with Tableau •
Natural Language Processing for Text Analysis •
Deep Learning for Predictive Modeling •
Big Data Analytics with Hadoop •
Software Engineering Principles for Data-Driven Applications •
Ethics and Responsible AI Development

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.

Start Now

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.

Start Now

  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
  • Start Now
    •

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 Software Engineering for Predictive Analytics

The Undergraduate Certificate in Software Engineering for Predictive Analytics is a specialized program designed to equip students with the skills required to develop predictive models and algorithms using software engineering principles. This program focuses on teaching students how to design, develop, and deploy predictive models using software engineering methodologies, ensuring that they can effectively integrate data science and software engineering to create innovative solutions. Upon completion of the program, students will have gained the following learning outcomes: they will be able to design and develop predictive models using software engineering principles, they will be able to integrate data science and software engineering to create innovative solutions, they will be able to apply software engineering methodologies to develop predictive models, they will be able to evaluate the performance of predictive models using software engineering tools and techniques. The duration of the Undergraduate Certificate in Software Engineering for Predictive Analytics is typically one year, although this may vary depending on the institution and the student's prior experience. The program is highly relevant to the industry, as predictive analytics is a rapidly growing field with a high demand for skilled professionals who can develop and deploy predictive models using software engineering principles. Many organizations are looking for professionals who can integrate data science and software engineering to create innovative solutions, making this program an attractive option for students who want to pursue a career in predictive analytics. Graduates of the program can expect to find employment opportunities in various industries, including finance, healthcare, and retail, where predictive analytics is used to drive business decisions and improve operational efficiency. Overall, the Undergraduate Certificate in Software Engineering for Predictive Analytics is a valuable program that provides students with the skills and knowledge required to succeed in this rapidly growing field.

Why this course?

Undergraduate Certificate in Software Engineering for Predictive Analytics is highly significant in today's market, particularly in the UK. According to a report by the Royal Society of Arts, the demand for data scientists and analysts is expected to increase by 14% by 2025, with the UK being a major hub for this industry.
Year Number of Jobs
2020 12,000
2021 14,000
2022 16,000
2023 18,000

Who should enrol in Undergraduate Certificate in Software Engineering for Predictive Analytics?

Primary Keyword: Software Engineering Ideal Audience
Individuals with a strong foundation in mathematics and computer science, particularly those with a degree in Computer Science, Information Technology, or a related field. In the UK, this includes students who have completed their A-levels in subjects like Mathematics, Computer Science, or Information Technology, with 71% of students pursuing a career in IT and data science.
Those interested in predictive analytics and machine learning, who want to develop their skills in software engineering to drive business growth and innovation. With the UK's data science industry valued at £13.4 billion, this course is ideal for those looking to upskill and reskill in software engineering for predictive analytics, with 60% of data scientists in the UK holding a postgraduate qualification.
Professionals seeking to transition into software engineering for predictive analytics, with a solid understanding of programming languages and data structures. In the UK, this includes professionals from various industries, such as finance, healthcare, and retail, who want to leverage their existing skills and knowledge to drive business success in predictive analytics.