Undergraduate Certificate in Predictive Analytics in Survival Analysis

Saturday, 14 February 2026 21:14:51

International applicants and their qualifications are accepted

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Overview

Overview

Survival analysis

is a crucial field in predictive analytics that helps organizations understand and manage risks associated with time-to-event data. This undergraduate certificate program is designed for individuals who want to develop skills in predictive analytics in survival analysis, enabling them to make informed decisions in fields like healthcare, finance, and engineering.

Through this program, learners will gain a deep understanding of survival analysis techniques, including Kaplan-Meier estimation, Cox proportional hazards models, and machine learning algorithms for survival prediction.

Some key concepts covered in the program include:

Time-to-event data analysis, survival curve estimation, and predictive modeling for survival analysis. The program also emphasizes the application of these techniques in real-world scenarios, such as predicting patient outcomes in healthcare or forecasting equipment failures in manufacturing.

By completing this certificate program, learners will be equipped with the skills and knowledge necessary to apply predictive analytics in survival analysis to drive business value and improve decision-making.

Predictive Analytics in Survival Analysis is a cutting-edge course that empowers students to develop advanced statistical models for predicting patient outcomes, identifying high-risk populations, and optimizing treatment strategies. By mastering Predictive Analytics techniques, learners can gain a competitive edge in the job market and secure roles in healthcare, finance, and data science. The course features Predictive Analytics tools, such as machine learning algorithms and survival analysis methods, to analyze complex data sets and provide actionable insights. With Predictive Analytics in Survival Analysis, learners can enhance their career prospects and drive business growth.

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

•
Survival Analysis Fundamentals •
Probability and Statistics for Survival Analysis •
Time-to-Event Analysis •
Competing Risks and Multiple Event Times •
Censoring and Right-Censoring •
Hazard Rate and Survival Function •
Kaplan-Meier Estimator and Survival Curves •
Cox Proportional Hazards Model •
Survival Analysis in R and Python •
Machine Learning for Survival Analysis

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

+44 (0) 20 3608 0144



Career path

Key facts about Undergraduate Certificate in Predictive Analytics in Survival Analysis

The Undergraduate Certificate in Predictive Analytics in Survival Analysis is a specialized program designed to equip students with the skills necessary to analyze and model survival data using predictive analytics techniques. This program focuses on teaching students how to apply statistical models, machine learning algorithms, and data visualization tools to predict the likelihood of survival or failure in various fields such as healthcare, finance, and engineering. Upon completion of the program, students will have gained a deep understanding of survival analysis concepts, including censoring, right-censoring, and left-censoring, as well as the ability to apply these concepts to real-world problems. The program's learning outcomes include the ability to design and implement survival models, interpret the results of these models, and communicate the findings effectively to stakeholders. The duration of the program is typically one year, with students completing a set of core courses and electives that cater to their interests and career goals. The Undergraduate Certificate in Predictive Analytics in Survival Analysis is highly relevant to industries that rely heavily on data-driven decision making, such as healthcare, finance, and insurance. In these industries, predictive analytics plays a critical role in identifying high-risk patients, predicting the likelihood of default, and optimizing treatment strategies. By gaining expertise in predictive analytics for survival analysis, graduates of this program can pursue careers in data science, biostatistics, or actuarial science, or work as consultants in industries that require advanced analytical skills. Overall, the Undergraduate Certificate in Predictive Analytics in Survival Analysis provides students with a unique combination of theoretical knowledge and practical skills that can be applied to a wide range of fields and industries.

Why this course?

Predictive Analytics in Survival Analysis is a highly sought-after skill in today's market, with the UK's data science industry expected to grow by 13% annually until 2028, according to a report by Glassdoor. The demand for professionals who can analyze and predict survival outcomes is on the rise, with companies like the NHS and pharmaceutical firms investing heavily in predictive analytics.
Year Employment Growth
2020 10%
2021 12%
2022 15%
2023 18%

Who should enrol in Undergraduate Certificate in Predictive Analytics in Survival Analysis?

Primary Keyword: Predictive Analytics Ideal Audience
Individuals with a strong foundation in statistics and mathematics, particularly those with a degree in a quantitative field such as mathematics, statistics, or computer science. Those interested in applying predictive analytics techniques to real-world problems in fields like healthcare, finance, and social sciences, with a focus on survival analysis.
Professionals looking to enhance their skills in data analysis and interpretation, such as data scientists, analysts, and researchers in the UK, where the National Health Service (NHS) alone employs over 1 million staff, many of whom rely on predictive analytics in their work. Academics and researchers seeking to expand their expertise in survival analysis and its applications, with the UK's Office for National Statistics (ONS) reporting a 10% increase in survival analysis-related research projects between 2019 and 2020.
Individuals seeking to pursue a career in data-driven decision making, with the UK's data science and analytics market projected to reach £15.4 billion by 2025, according to a report by ResearchAndMarkets.com. Those looking to stay ahead of the curve in the rapidly evolving field of predictive analytics, with the UK's Data Science Council of America (DASCA) offering certification programs for professionals seeking to demonstrate their expertise.