SMU Bootcamps

42%

OFF

Save up to $3,600 on bootcamps*

For our Summer School Savings event, we’re reducing the cost of our part-time and full-time bootcamps from $17.5K to $12.9K for a limited time for our summer 2025 cohorts.

‍Apply by April 25, 2025 to be eligible for the May 5, 2025 cohort. ‍

*The total price is dependent on the financing option chosen. This offer is available for Software Engineering, Data Science, Artificial Intelligence, and Cybersecurity programs–full bootcamp only.

Curriculum Highlights

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Industry-approved curriculum to support your journey into data science

Essentials - 9 Weeks

Introduction to Python - 3 weeks

Apply the basics of programming language methodologies to real world scenarios
Demonstrate foundational skills for scripting with Python programming language

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‍Introduction to Data Science - 3 weeks

Implement foundational statistical measurement with data using scripting
Demonstrate gathering insights from data with visualizations
Integrate object oriented programming (OOP) with Python for data cleaning and analysis

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‍Introduction to SQL - 3 weeks

Utilize industry standard techniques to analyze data with, programming language (python), structured query language (SQL), and the cloud
Explore and manipulate data with mathematics, probability, and statistics
Analyze data for a business problem with visualizations with a dashboard

Foundations I - 9 weeks

Cloud Computing, Generative AI, and Dashboards - 3 weeks

Create a dashboard using data science methodologies with industry standard tool(s)
Model exploratory data analysis with tools for multiple data sets. (SQL and SQL table relations)
Utilize programming techniques to process large data samples with (PySpark and Big Data)

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‍Inferential Statistics - 3 weeks

Integrate statistical inference of data using the technical programming
Implement methodologies for statistical inference
Utilize mathematics, statistics, and probability for data science methodologies to derive insights

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‍Regression - 3 weeks

Perform logistic regression with data sets using programming techniques, lasso and ridge
Compare statistical results for different types of regression with data sets, linear, transformations of linear, and multiple linear regressions
Utilize mathematics, statistics, and probability for data science methodologies to derive insights

Foundations II - 12 weeks

Introduction to Machine Learning - 3 weeks

Utilize foundational machine learning modeling like decision trees and supervised learning
Prepare data for machine learning modeling with preprocessing (feature extraction) and normalization
Utilize mathematics, statistics, and probability for data science methodologies to derive insights

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‍Machine Learning with Scikit-Learn - 3 weeks

Utilize foundational machine learning modeling like decision trees and supervised learning
Prepare data for machine learning modeling with preprocessing (feature extraction) and normalization
Integrate mathematics, statistics, and probability for data science methodologies to derive insights

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‍Natural Language Processing, Time Series, and Neural Networks - 3 weeks

Develop insights from language, time, and image data using neural networks and Natural Language Processing (NLP)
Integrate mathematics, statistics, and probability for data science methodologies to derive insights

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‍Neural Networks and Similar Models - 3 weeks

Create an advanced neural network application
Integrate mathematics, statistics, and probability for data science methodologies to derive insights

Capstone - 15 weeks

Data Science Capstone - 15 weeks

Integrate data science process using at least one method of regression
Integrate data science process using at least one method of non-regression supervised learning
Integrate data science process at least one method of non-regression unsupervised learning

Program Completion

Once you've completed the full bootcamp program, you'll receive a completion certificate from SMU and a Credly badge to display on your LinkedIn and resume. You'll also transition into the career services section of the program - working with a dedicated career coach 1:1 to define your personal brand, update your resume materials, practice mock technical interviews, and launch your job search.