Program Overview

Data Analytics Bootcamp

Overview

MIM Data Analytics Bootcamp is designed by graduates of MIT, and University of Waterloo. The program includes an intensive Data Analytics Bootcamp followed by a Six-Month Internship in Data Analytics, with J1 visa sponsorship for international students.

Program Goals

• Strengthen applied math and programming knowledge needed for data science and AI
• Get a strong understanding of AI algorithms
• Acquire the analysis, design, implementation, and monitoring skills for IT & Big Data architectures

Program Structure

• 2 weeks Preparation (80 hours - optional)
• 13-week academic program (class/project hours), plus homework

Total program hours: 390 h.

Prep. Phase

• 80 hours of Programming in Python, probability and statistics

Week 1 ~ Week 4

• Data Analytics Fundamentals
  • Python for Data Analytics
  • Introduction to Big Data analysis: data preparation and wrangling; data exploration objectives and methods: structure and unstructured data
  • Project: Big Data analysis using Python

Week 5 ~ Week 8

• Data Models
  • Introduction to Machine Learning: supervised and unsupervised learning
  • Supervised Machine Learning: Support Vector Machines, k-Nearest Neighbor, ensemble Learning and Random Forest
  • Model Training
  • Project: Implementation of Supervised Machine Learning Model

Week 9 ~ Week 13

• Advanced Topics and Application
  • Supervised Machine Learning Algorithms: PCA
  • Machine Learning Neural Networks, Deep Learning Nets, and Random Forest
  • Project: Implementation of Unsupervised Machine Learning Model

Admission Requirements

• Associate Degree or Bachelor Degree, or Master Degree
• English Requirements: TOEFL (min 450) or any equivalent test

Tuition Fees

• On-site: $14,000 with Certificate (Plus non-refundable $200 registration/mailing fee)

Start Dates

• Winter 2025

Faculty

• Nathan Grossman, MBA
  • Data Analytics Bootcamp Teacher Bio: Nathan is a data scientist at Silicon Valley Bank, creating machine learning models for banking and marketing applications. He holds a BS in Mechanical Engineering from the University of Illinois, an MS in Electrical Engineering from the University of Michigan, and an MBA from the University of Pennsylvania’s Wharton School.
• Joe Comeaux
  • Data Analytics Bootcamp Teacher Bio: Joe is a Meteorologist, Software Engineer, Data Scientist and Instructor with experience teaching at all levels. He earned his MS in Meteorology from Florida State University and a certificate in Data Analysis and Visualization from Denver University.

Data Analytics Speaker Series

• Stefano Pasquali
  • Head of Liquidity Trading at BlackRock
  • Topic: Application of Data Science in Finance
• Craig Friedman, PhD
  • Founder of StatePlusPlus Incorporated
  • Topic: Application of Data Science/Machine Learning to Neuroscience

Alumni

• Many students have graduated from MIM in New York and have joined successful companies in Technology, Data Analytics, Digital Marketing, and Finance.

Career Services

• MIM provides career coaching, portfolio building, and connections to top firms in New York.
• Services include:
  • Work closely with other students to create an engaging and supportive environment
  • Help identify jobs/internships opportunities in Data Analytics
  • Introduce students to MIM’s extensive alumni network
  • Invite industry speakers to give a real-world, practical perspective
  • Prepare students for Data Analytics interviews

Frequently Asked Questions

• What is Data Analytics about?
  • Data Analytics is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
• Who is a Data Scientist?
  • Data scientists are research scientists who gather and analyze large sets of structured and unstructured data. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations.
• How much do Data Analysts earn?
  • According to Glassdoor, Data Scientists make an average of $116,100 per year.
• What is a Data Analytics bootcamp?
  • Data Analytics bootcamps are intense educational programs that pack critical data science skills and technologies into a short period of time. Data science bootcamps offer in-person, online, or a hybrid approach that combines online and campus learning.
• What are Data Analytics Bootcamp start dates?
  • MIM runs quarterly admissions: September, January, April, July
• What are job titles in Data Analytics?
  • Data Engineer, Data Analyst, and Data Scientist.