Online Data Science Bootcamp with UMass Global

When working on the generalist track, you will learn how to take on versatile data science roles. Building on the foundational skills you’ve developed in the core curriculum, you’ll dive further into more advanced topics, like advanced time series analysis, machine learning topics, machine learning in the cloud, software engineering for data scientists, and data science at scale, including neural networks, Spark, Pyspark, and Hadoop.

This track ultimately aims to provide students with advanced data visualization and analytical skills. This will better help you present actionable data to business stakeholders, taking information from machine learning models and offering that knowledge directly to the organization. Topics include structured thinking, business analytics, advanced data visualization, and advanced SQL.

In this track, you’ll learn advanced machine learning techniques. This includes elements like deep learning and the best way to deploy machine learning models. This unit will help you broaden your machine learning skills overall while learning about industry standards. Master advanced time series analysis, deep learning, production machine learning methods, advanced machine learning topics, and data science at scale, including Hadoop, Spark, and Python.

Data science bootcamps are worth it if you are looking to switch careers or learn new programming languages and tools. The fast-paced environment of a bootcamp can be beneficial if you have the motivation to learn and apply yourself. 

The UMass Global Data Science Bootcamp provides access to a 1-on-1 industry mentor, an optional career curriculum, and a career coach to help prepare you for the next step in your career. 

Yes, data science is an excellent career choice in Massachusetts. The state is known as a tech innovation hub, home to a wide range of industries such as technology, healthcare, finance, and biotechnology, all of which heavily utilize data science. Massachusetts hosts numerous renowned companies and startups that are continually in search of skilled data scientists to help them turn complex data into actionable insights. Notably, Massachusetts consistently offers competitive salaries for data scientists, often exceeding the national average. The rich, diverse business ecosystem and substantial tech community provide ample networking and professional development opportunities, making the state an attractive destination for data science professionals.

Data science is the process of extracting knowledge from structured and unstructured data. It involves using mathematical, statistical, and computer science techniques to analyze data, identify patterns and relationships, and propose insights that can help organizations make better decisions.

Data science is used in a wide range of industries, including finance, healthcare, manufacturing, marketing, and retail. It's an important tool for making informed decisions about everything from product pricing to inventory management to customer segmentation.

A data scientist uses their knowledge of statistics and computer programming to clean data, create algorithms and models, and analyze large data sets, looking for patterns and correlations that can help them understand what's happening within the business.

Once they have identified any trends, a data scientist will then create reports and presentations that explain their findings in a way that is easy for non-technical people to understand. This allows business decision makers to make informed choices about how to improve their business based on the data that has been collected.

How long it takes to become a data scientist depends on your background and prior experience. A data scientist typically has a mathematics, statistics, computer science, or engineering degree. However, there are many self-taught data scientists who have no formal education in these areas.

A data scientist can get up to speed fairly quickly if they are familiar with Python and have some basic knowledge of machine learning algorithms. But it would probably take someone several months to a year to become a data scientist if they had no prior background in this field.

Our bootcamp can help you prepare to become a data scientist in less than nine months.

• Data Engineer: $118,965 average salary

• Machine Learning Engineer: $125,424 average salary

• Data Scientist: $121,690 average salary

• Data Science Manager: $124,097 average salary

• Product Analyst: $99,764 average salary

• Marketing Research Analyst: $89,989 average salary

• Data Architect Manager: $128,594 average salary

Forbes reports that the median base salary for a top-level data science manager is $250,000, and for experienced individual contributors, it’s $160,000.

The salary range for a data scientist can vary based on experience, location, and company, but Salary.com reports a range of $121,443 - $150,223.

Data scientists are in high demand. The U.S. Bureau of Labor and Statistics (BLS) reports an expected change in employment of 22% between 2020 and 2030, which significantly outpaces the average of all occupations: 8%. 

Data science bootcamp costs vary, but can be anywhere between $10,000 and $20,000. The UMass Global Data Science Bootcamp is $9,900 when paid upfront, and is much more affordable than a traditional degree program.