Professional Certificate in Deep Learning for Survival Analysis

Thursday, 12 February 2026 17:39:01

International applicants and their qualifications are accepted

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Overview

Overview

Deep Learning for Survival Analysis


This course is designed for professionals who want to apply deep learning techniques to survival analysis problems. It covers the fundamentals of deep learning and its applications in survival analysis, including data preprocessing, model selection, and interpretation.


Learn how to use deep learning algorithms such as neural networks and recurrent neural networks to predict survival outcomes and estimate hazard rates. The course also covers the use of deep learning for survival analysis in various industries, including healthcare and finance.


By the end of this course, you will be able to apply deep learning techniques to real-world survival analysis problems and make informed decisions using data-driven insights.


Take the first step towards mastering deep learning for survival analysis and explore this course to learn more.

Deep Learning is revolutionizing the field of survival analysis, and this Professional Certificate program is designed to equip you with the skills to harness its power. By mastering Deep Learning techniques, you'll gain a competitive edge in the job market and enhance your career prospects in data science and analytics. This course focuses on Deep Learning for survival analysis, covering key concepts such as model selection, feature engineering, and hyperparameter tuning. You'll also explore the application of Deep Learning in real-world scenarios, including time-to-event analysis and predictive modeling. With this certification, you'll be well-prepared to tackle complex survival analysis problems and drive business value.

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

•
Supervised Learning for Survival Analysis •
Unsupervised Learning for Survival Analysis •
Time Series Analysis for Survival Data •
Survival Analysis with Cox Proportional Hazards Model •
Survival Analysis with Accelerated Failure Time Model •
Survival Analysis with Frailty Models •
Deep Learning for Survival Analysis •
Recurrent Neural Networks for Survival Analysis •
Long Short-Term Memory (LSTM) Networks for Survival Analysis •
Gradient Boosting Machines 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 Professional Certificate in Deep Learning for Survival Analysis

The Professional Certificate in Deep Learning for Survival Analysis is a comprehensive program designed to equip learners with the skills necessary to apply deep learning techniques to survival analysis problems.
This program focuses on the application of deep learning methods, such as neural networks and recurrent neural networks, to predict survival outcomes in various fields, including healthcare, finance, and engineering.
Upon completion of the program, learners will be able to analyze complex survival data, identify key factors that influence survival outcomes, and develop predictive models using deep learning techniques.
The program covers a range of topics, including data preprocessing, feature engineering, model selection, and model evaluation, as well as the use of popular deep learning libraries such as TensorFlow and PyTorch.
The duration of the program is approximately 12 weeks, with learners completing a series of assignments and projects that apply deep learning techniques to real-world survival analysis problems.
The Professional Certificate in Deep Learning for Survival Analysis is highly relevant to industries that rely on predictive modeling, such as healthcare, finance, and insurance, where accurate survival predictions can have significant implications for patient outcomes, investment decisions, and risk management.
Learners who complete the program will gain a deep understanding of the principles and practices of deep learning for survival analysis, as well as the ability to apply these skills to real-world problems.
The program is designed to be accessible to learners with little to no prior experience in deep learning or survival analysis, making it an excellent option for those looking to transition into a new field or advance their careers in a related field.
Overall, the Professional Certificate in Deep Learning for Survival Analysis is an excellent choice for anyone looking to develop the skills necessary to apply deep learning techniques to complex survival analysis problems.

Why this course?

Deep Learning has become a crucial component of survival analysis in today's market, with the UK's insurance industry being a prime example. According to a report by the Association of British Insurers, the use of artificial intelligence and machine learning in insurance is expected to grow by 20% annually, with deep learning playing a significant role in this trend.
Year Growth Rate
2018 10%
2019 15%
2020 20%

Who should enrol in Professional Certificate in Deep Learning for Survival Analysis?

Deep Learning for Survival Analysis Ideal Audience
Data analysts and scientists working in the UK healthcare sector are in high demand, with the UK's National Health Service (NHS) employing over 1.3 million staff, many of whom will benefit from this course.
Business professionals with an interest in predictive analytics can apply the skills learned to improve business outcomes, with the UK's Office for National Statistics reporting a 10% increase in business productivity since 2015.
Academics and researchers in the field of survival analysis will find this course an invaluable resource for staying up-to-date with the latest techniques and methodologies, with the UK's Research Councils investing heavily in deep learning research.