Overview

The Data Science and AI Program, which can be taken either part-time (24 weeks) or full-time (12 weeks), is designed for career-driven professionals who want to transition into the big data and AI industry.

The program includes pre-work, intensive practical training, industry certification, and a job outcomes program, in collaboration with industry partners. The course content has been tailored to give you the skills that are demanded by businesses in today’s rapidly evolving job market. 

This program is 100% online. The interactive remote format enabled by video conferencing technology is a rich and connected experience featuring virtual break-out rooms, shared screens, digital whiteboards, peer to peer collaboration, and instructor support.

Discuss with a Career Consultant

You can schedule a call with a Career Consultant to discuss this course. 

THE DEMAND FOR TECH TALENT

The opportunity is massive in the United States with Glassdoor reporting that data scientists have the second highest-paying job in America, with a median base salary of $126,200 per year.

According to the U.S. Bureau of Labor Statistics, the job outlook for data scientists and other computer and information research is projected to increase by 36 percent between 2021 and 2031. 

What is Practical Data Science Training?

Practical data science training is an essential requirement to practice as a data scientist or data analyst in the United States. Learn from industry experts on how to apply machine learning and AI techniques for businesses and government organizations including business consulting and simulating commercial projects. This means you will be ready to work as a data scientist or data analyst. 

Michigan Technological University (MTU) & Institute of Data (IOD)

IOD is excited to collaborate with Michigan Tech Global Campus - Welcome to the Michigan Technological University (MTU) and Institute of Data's new, in-demand data science training program.

Learn how to create predictive models by learning to wrangle, analyze, visualize, predict, and find insight into data alongside the best data science trainers in the United States.

The Data Science & AI Program is a structured training course designed to help you develop the practical skills you will need as a data scientist or data analyst. After completing your Data Science & AI Program, you will receive a Data Science & AI Certificate of Completion from MTU and an Institute of Data® Industry Certification.

Every year, hundreds of professionals choose the Institute of Data to progress their current career, prepare for future opportunities, and receive the maximum return on investment for their education. Leading the future of the profession, the Institute of Data offers a collaborative and successful program, driven to ensure you have the best start to your career.

Institute of data testimonial - I wanted to be able to maintain my full-time job while building on my skills. The career assistance at the end really appealed to me. - Joanne

Data Science & Artificial Intelligence (AI) Program 

The next program starts
February 10, 2025 (Part-time)

With the practical training program you will...

Practical Training Program-MTU

Be ready to practice data science

The program is designed to prepare students for real commercial work in the area of data science, AI, and big data. It is focused on practical in-class training, labs, and real-life projects.

Practical Training Program-MTU

Receive the best training and the latest curriculum

The program trainers are actively working in the industry and will teach you how to practice data science and advanced analytics. The curriculum is developed by the Institute of Data Academic Committee with decades of experience working in the Data Science Industry.

Practical Training Program-MTU

Be more attractive to employers

The program results in an MTU Data Science & AI Certificate of Completion and an Institute of Data® Industry Certification which signals to employers that you are ready to join the industry. Your resume and profile will be reviewed by our Job Outcomes team to give you the best possible chance of success. 

Practical Training Program-MTU

Get more support and guidance

Join a valuable industry network with peers and mentors from your cohort. Our dedicated career coaches will guide you on how to effectively connect with employers through targeted industry engagement, job applications, and by participating in industry networking events.

Program structure

Program Structure - MTU

Pre-work

Students complete curated pre-work as an interactive online learning experience designed to prepare every student with the required skills and knowledge to complete all coursework and training.

Program Structure - MTU

Remote Training

Students undertake a professional in-classroom course from a team of expert industry trainers from leading consultancies and enterprises to acquire the most sought-after practical training in the country.  

Program Structure - MTU

Job outcomes

You will undergo a Job Outcomes Program which will help position you for the best chance of a new job opportunity and/or internal promotion. Land a job in one of the most sought after fields in tech with the guidance of professional career coaches and access to our hiring network. 

How will I be assessed?

The program uses competency-based assessment through the completion of labs and a final capstone project. There is no formal exam. The capstone project is a real-life project and is assessed against the competency-based assessment standards set by the Academic Committee. 

1000+

Industry Partners & Contacts


Post course

We'll help you transition into the big data, data science, and artificial intelligence industry. We have a 93% job outcome success rate within 180 days of graduation for active job seekers.

Syllabus Breakdown

Mathematics, Statistics and Programming for Data Science
  • Course Introduction and Overview
  • Programming Fundamentals for Data Science
  • Math & Statistics Fundamentals for Data Science
  • Data Science Practice (ongoing)
Exploratory Data Analysis and Data Science Practices
  • Data Cleaning and Quality Assessment
  • Data Visualization
  • Statistical Testing
  • Succeeding as a Data Scientist in Industry
  • Mini Project 1 – Data Science Practice
  • Critical Thinking Training
Databases and APIs
  • Relational and Non-Relational Databases
  • SQL
  • Application Programming Interfaces (APIs)
  • Data Science Practice (ongoing)
Machine Learning - Supervised Learning - Regression
  • Introduction to Machine Learning
  • Feature Modelling
  • Evaluating Regression Models
  • Overfitting and Regularization
  • Questioning Technique Training
Machine Learning - Supervised Learning - Classification
  • Logistic Regression
  • Evaluating Classification Models
  • Support Vector Machines
  • Bayesian Inference
  • Data Science Practice (ongoing)
Machine Learning - Unsupervised Learning
  • K-means Clustering
  • Principal Components Analysis
  • Research and Documentation Training
  • Mini Project 2 – Data Science Practice
Decision Trees and Ensemble Methods
  • Decision Trees
  • Random Forests
  • Bias and Variance
  • Bagging
  • Boosting
  • Stacking
  • Data Science Practice (ongoing)
Natural Language Processing (NLP)
  • Web Scraping
  • Text Pre-processing
  • Sentiment Analysis
  • Text Classification
  • Presentation Skills Training
  • Data Science Practice (ongoing)
Artificial Intelligence and Deep Learning
  • Introduction to Artificial Intelligence
  • Reinforcement Learning
  • Deep Feedforward Neural Networks
  • Recurrent Neural Networks
  • Convolutional Neural Networks
  • Mini Project 3 – Data Science Practice
Machine Learning Deployment and Cloud Computing
  • Introduction to Cloud Computing
  • Deployment of Machine Learning Models
  • Cluster Computing
  • Streaming Data
  • Storytelling Training
  • Capstone Project
Ongoing Modules
Additional Topics: Determined by Students and Lead Trainer
  • Job Outcomes Program
  • Consultation and Presentation training
  • Data Science Practice
  • Capstone Project

FAQs

Fees and Payment

Speak to a career consultant about fee and fee support details.

Program Entry Requirements
  • Bachelor degree in any field of studies
  • Any previous qualification undertaken in English or obtained IELTS 5.5
  • Complete the assigned online pre-work provided to you when you enroll
Time Commitment: Part Time Program
24 weeks intensive remote in-class training | 2 night classes per week + 1 Saturday class every other week 
Time Commitment: Full Time Program
12 weeks intensive remote in-class training | Monday-Friday
Location
Remote
Michigan Tech University Global Campus Logo in Yellow

Michigan Technological University
1400 Townsend Drive, Houghton
Michigan 49931-1295
906-487-1885

Program Partner of

Institute of Data Logo in White

© Michigan Technological University. All rights reserved.

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