Undergraduate Certificate in Survival Analysis in Data Science

Monday, 16 February 2026 06:02:02

International applicants and their qualifications are accepted

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Overview

Overview

Survival Analysis in Data Science

is a crucial tool for understanding the time-to-event data, where the primary goal is to predict the probability of an event occurring within a specified timeframe. This course is designed for data scientists and analysts who want to learn how to apply survival analysis techniques to real-world problems.

Some of the key concepts covered in this course include censoring, Kaplan-Meier estimation, Cox proportional hazards model, and survival curves. You will also learn how to use R and Python libraries such as survival and scikit-learn to implement these techniques.

By the end of this course, you will be able to analyze and interpret survival data, identify potential biases, and develop predictive models to inform business decisions. Whether you're working in healthcare, finance, or another field, survival analysis is an essential skill to have.

So why wait? Explore the world of survival analysis in data science today and take the first step towards unlocking the secrets of time-to-event data.

Survival Analysis is a crucial tool in data science, enabling you to understand the time-to-event relationships in your data. This Undergraduate Certificate course will equip you with the skills to apply survival analysis techniques to real-world problems, providing sustainable career prospects in fields like healthcare, finance, and engineering. You'll learn about survival modeling, censoring, and competing risks, as well as programming languages like R and Python. Unique features of the course include interactive case studies and a focus on practical applications. Upon completion, you'll be able to extract insights from complex data sets and drive business decisions.

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
• Statistical Inference
• Time-to-Event Analysis
• Censoring and Truncation
• Hazard Rate Estimation
• Kaplan-Meier Estimator
• Cox Proportional Hazards Model
• Accelerated Failure Time Model
• Competing Risks Analysis
• Survival Curve Plotting

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 Survival Analysis in Data Science

The Undergraduate Certificate in Survival Analysis in Data Science is a specialized program designed to equip students with the skills and knowledge necessary to analyze and interpret survival data in various fields, including healthcare, finance, and engineering.
This program focuses on teaching students how to model and analyze survival data using statistical techniques, such as Kaplan-Meier estimation, Cox proportional hazards regression, and survival regression analysis. Students will also learn how to apply these techniques to real-world problems, including predicting patient outcomes, estimating treatment effects, and identifying high-risk populations.
The duration of the Undergraduate Certificate in Survival Analysis in Data Science is typically one year, although this may vary depending on the institution and the student's prior experience. Students can expect to spend around 12-15 months completing the program, which includes both theoretical coursework and practical projects.
The industry relevance of this program is high, as survival analysis is a critical component of many fields, including healthcare, finance, and engineering. Companies and organizations are constantly seeking professionals who can analyze and interpret survival data to inform business decisions, improve product design, and optimize treatment outcomes.
Graduates of the Undergraduate Certificate in Survival Analysis in Data Science can expect to find employment opportunities in a variety of industries, including pharmaceuticals, biotechnology, and healthcare. They may also pursue advanced degrees in data science, statistics, or engineering, or enter the workforce as data analysts, statistical consultants, or research scientists.
Overall, the Undergraduate Certificate in Survival Analysis in Data Science is a valuable program for students who want to develop the skills and knowledge necessary to analyze and interpret survival data in a variety of fields. With its focus on practical applications and industry relevance, this program is well-suited for students who want to launch a career in data science or related fields.

Why this course?

Survival Analysis in Data Science has become increasingly significant in today's market, particularly in the UK. According to a report by the UK's Office for National Statistics (ONS), the demand for data scientists with expertise in survival analysis is expected to rise by 14% by 2028, outpacing the average growth rate for all occupations.
Industry Growth Rate (%)
Finance 18%
Healthcare 12%
Technology 20%

Who should enrol in Undergraduate Certificate in Survival Analysis in Data Science ?

Primary Keyword: Survival Analysis Ideal Audience
Data Science professionals with a strong foundation in statistics and programming skills, particularly those working in healthcare, finance, and insurance, are well-suited for this course. In the UK, a survey by the Royal Statistical Society found that 71% of data scientists reported working in industries that require advanced statistical analysis, such as healthcare and finance.
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 also ideal candidates. According to a report by the UK's Office for National Statistics, the demand for data scientists is expected to increase by 14% by 2028, outpacing the average for all occupations.
Prospective learners should have a basic understanding of programming languages such as R or Python, as well as experience with data visualization tools and statistical software. The course is designed to be accessible to those with limited prior experience, but a strong foundation in statistics and programming is essential for success.