MS in Data Science
MS in Data Science
MS in Data Science
Data drives. You lead.
Data has become one of the most critical tools in shaping our economy, society, and culture. Now more than ever we need people who can understand this untapped resource and draw conclusions so vital to future success.
We developed our Master’s in Data Science with that, and your current background, in mind. As an interdisciplinary program between the Khoury College of Computer Sciences and the College of Engineering, you’ll develop comprehensive expertise in mathematics, computing, and data engineering so you can take your data career to the next level. That interdisciplinary element means you’ll receive robust, comprehensive exposure to the world of data science. Our wide breadth of elective courses will help you create a curriculum that’s unique to your own interests. And with a full spectrum of exciting co-op, research, and internship opportunities, you’ll gain even more real-world experience to help you emerge from your studies prepared for whatever and wherever data leads you next.
If you don’t have a background in data science or computing, then the Align MS in Data Science might be for you. It offers a direct path to a master’s degree in data science, regardless of your background.
Data drives. You lead.
Data has become one of the most critical tools in shaping our economy, society, and culture. Now more than ever we need people who can understand this untapped resource and draw conclusions so vital to future success.
We developed our Master’s in Data Science with that, and your current background, in mind. As an interdisciplinary program between the Khoury College of Computer Sciences and the College of Engineering, you’ll develop comprehensive expertise in mathematics, computing, and data engineering so you can take your data career to the next level. That interdisciplinary element means you’ll receive robust, comprehensive exposure to the world of data science. Our wide breadth of elective courses will help you create a curriculum that’s unique to your own interests. And with a full spectrum of exciting co-op, research, and internship opportunities, you’ll gain even more real-world experience to help you emerge from your studies prepared for whatever and wherever data leads you next.
If you don’t have a background in data science or computing, then the Align MS in Data Science might be for you. It offers a direct path to a master’s degree in data science, regardless of your background.
Data drives. You lead.
Data has become one of the most critical tools in shaping our economy, society, and culture. Now more than ever we need people who can understand this untapped resource and draw conclusions so vital to future success.
We developed our Master’s in Data Science with that, and your current background, in mind. As an interdisciplinary program between the Khoury College of Computer Sciences and the College of Engineering, you’ll develop comprehensive expertise in mathematics, computing, and data engineering so you can take your data career to the next level. That interdisciplinary element means you’ll receive robust, comprehensive exposure to the world of data science. Our wide breadth of elective courses will help you create a curriculum that’s unique to your own interests. And with a full spectrum of exciting co-op, research, and internship opportunities, you’ll gain even more real-world experience to help you emerge from your studies prepared for whatever and wherever data leads you next.
If you don’t have a background in data science or computing, then the Align MS in Data Science might be for you. It offers a direct path to a master’s degree in data science, regardless of your background.
Data drives. You lead.
Data has become one of the most critical tools in shaping our economy, society, and culture. Now more than ever we need people who can understand this untapped resource and draw conclusions so vital to future success.
We developed our Master’s in Data Science with that, and your current background, in mind. As an interdisciplinary program between the Khoury College of Computer Sciences and the College of Engineering, you’ll develop comprehensive expertise in mathematics, computing, and data engineering so you can take your data career to the next level. That interdisciplinary element means you’ll receive robust, comprehensive exposure to the world of data science. Our wide breadth of elective courses will help you create a curriculum that’s unique to your own interests. And with a full spectrum of exciting co-op, research, and internship opportunities, you’ll gain even more real-world experience to help you emerge from your studies prepared for whatever and wherever data leads you next.
If you don’t have a background in data science or computing, then the Align MS in Data Science might be for you. It offers a direct path to a master’s degree in data science, regardless of your background.
Learning outcomes
An MSDS degree enables you to:
- Data Management: Ability to effectively utilize integrated databases for managing large-scale datasets.
- Machine Learning: Ability to effectively apply an appropriate machine-learning model to a problem.
- Analysis and Visualization: Ability to effectively communicate insights derived from data.
An MSDS degree enables you to collect data from numerous sources (databases, files, images) and integrate them into a form in which the data is fit for analysis. Students develop strong programming and analysis skills to explore data, produce summary statistics, perform statistical analyses; using standard data mining and machine-learning models for effective analysis. Students learn to work with both structure and unstructured data. The program provides you with the knowledge to manage, process, analyze, and visualize data at scale. You will learn about the limitations of machine learning and data mining methods as applied to real-world problems and communicate the advantages/disadvantages of the methods to non-data experts. Students will carry out the full data analysis workflow, including unsupervised class discovery, supervised class comparison, and supervised class prediction. They will learn how to properly summarize, interpret, and communicate the analysis of results. In this program you will develop methods for modeling, analyzing, and reasoning about data arising in one or more application domains such as social science, health informatics, web and social media, climate informatics, urban informatics, geographical information systems, business analytics, bioinformatics, complex networks, public health, and game design.
Career Opportunities
The MSDS program’s coursework in machine learning, data mining, artificial intelligence, and visualization enables students to capture, process, model, analyze and visualize data to make strategic business decisions to optimize outcomes.
MSDS graduates find success in a wide range of work experiences, including:
- Data Scientist at Athena Health
- Data Scientist at BNY Mellon
- Data Scientist at iRobot
- Machine Learning Engineer at Spotify
- Machine Learning Engineer at Quantiphi
- Software Engineer at Amazon Web Services
Learning outcomes
An MSDS degree enables you to:
- Data Management: Ability to effectively utilize integrated databases for managing large-scale datasets.
- Machine Learning: Ability to effectively apply an appropriate machine-learning model to a problem.
- Analysis and Visualization: Ability to effectively communicate insights derived from data.
An MSDS degree enables you to collect data from numerous sources (databases, files, images) and integrate them into a form in which the data is fit for analysis. Students develop strong programming and analysis skills to explore data, produce summary statistics, perform statistical analyses; using standard data mining and machine-learning models for effective analysis. Students learn to work with both structure and unstructured data. The program provides you with the knowledge to manage, process, analyze, and visualize data at scale. You will learn about the limitations of machine learning and data mining methods as applied to real-world problems and communicate the advantages/disadvantages of the methods to non-data experts. Students will carry out the full data analysis workflow, including unsupervised class discovery, supervised class comparison, and supervised class prediction. They will learn how to properly summarize, interpret, and communicate the analysis of results. In this program you will develop methods for modeling, analyzing, and reasoning about data arising in one or more application domains such as social science, health informatics, web and social media, climate informatics, urban informatics, geographical information systems, business analytics, bioinformatics, complex networks, public health, and game design.
Career Opportunities
The MSDS program’s coursework in machine learning, data mining, artificial intelligence, and visualization enables students to capture, process, model, analyze and visualize data to make strategic business decisions to optimize outcomes.
MSDS graduates find success in a wide range of work experiences, including:
- Data Scientist at Athena Health
- Data Scientist at BNY Mellon
- Data Scientist at iRobot
- Machine Learning Engineer at Spotify
- Machine Learning Engineer at Quantiphi
- Software Engineer at Amazon Web Services
Learning outcomes
An MSDS degree enables you to:
- Data Management: Ability to effectively utilize integrated databases for managing large-scale datasets.
- Machine Learning: Ability to effectively apply an appropriate machine-learning model to a problem.
- Analysis and Visualization: Ability to effectively communicate insights derived from data.
An MSDS degree enables you to collect data from numerous sources (databases, files, images) and integrate them into a form in which the data is fit for analysis. Students develop strong programming and analysis skills to explore data, produce summary statistics, perform statistical analyses; using standard data mining and machine-learning models for effective analysis. Students learn to work with both structure and unstructured data. The program provides you with the knowledge to manage, process, analyze, and visualize data at scale. You will learn about the limitations of machine learning and data mining methods as applied to real-world problems and communicate the advantages/disadvantages of the methods to non-data experts. Students will carry out the full data analysis workflow, including unsupervised class discovery, supervised class comparison, and supervised class prediction. They will learn how to properly summarize, interpret, and communicate the analysis of results. In this program you will develop methods for modeling, analyzing, and reasoning about data arising in one or more application domains such as social science, health informatics, web and social media, climate informatics, urban informatics, geographical information systems, business analytics, bioinformatics, complex networks, public health, and game design.
Career Opportunities
The MSDS program’s coursework in machine learning, data mining, artificial intelligence, and visualization enables students to capture, process, model, analyze and visualize data to make strategic business decisions to optimize outcomes.
MSDS graduates find success in a wide range of work experiences, including:
- Data Scientist at Athena Health
- Data Scientist at BNY Mellon
- Data Scientist at iRobot
- Machine Learning Engineer at Spotify
- Machine Learning Engineer at Quantiphi
- Software Engineer at Amazon Web Services
Learning outcomes
An MSDS degree enables you to:
- Data Management: Ability to effectively utilize integrated databases for managing large-scale datasets.
- Machine Learning: Ability to effectively apply an appropriate machine-learning model to a problem.
- Analysis and Visualization: Ability to effectively communicate insights derived from data.
An MSDS degree enables you to collect data from numerous sources (databases, files, images) and integrate them into a form in which the data is fit for analysis. Students develop strong programming and analysis skills to explore data, produce summary statistics, perform statistical analyses; using standard data mining and machine-learning models for effective analysis. Students learn to work with both structure and unstructured data. The program provides you with the knowledge to manage, process, analyze, and visualize data at scale. You will learn about the limitations of machine learning and data mining methods as applied to real-world problems and communicate the advantages/disadvantages of the methods to non-data experts. Students will carry out the full data analysis workflow, including unsupervised class discovery, supervised class comparison, and supervised class prediction. They will learn how to properly summarize, interpret, and communicate the analysis of results. In this program you will develop methods for modeling, analyzing, and reasoning about data arising in one or more application domains such as social science, health informatics, web and social media, climate informatics, urban informatics, geographical information systems, business analytics, bioinformatics, complex networks, public health, and game design.
Career Opportunities
The MSDS program’s coursework in machine learning, data mining, artificial intelligence, and visualization enables students to capture, process, model, analyze and visualize data to make strategic business decisions to optimize outcomes.
MSDS graduates find success in a wide range of work experiences, including:
- Data Scientist at Athena Health
- Data Scientist at BNY Mellon
- Data Scientist at iRobot
- Machine Learning Engineer at Spotify
- Machine Learning Engineer at Quantiphi
- Software Engineer at Amazon Web Services
I learned to approach a data science problem, determine the value in the obscure data, what algorithms will apply, and the story I can tell. My programming skills have improved, and I learned to create.
Amel Docena
MS in Data Science, 2020
I learned to approach a data science problem, determine the value in the obscure data, what algorithms will apply, and the story I can tell. My programming skills have improved, and I learned to create.
Amel Docena
MS in Data Science, 2020
I learned to approach a data science problem, determine the value in the obscure data, what algorithms will apply, and the story I can tell. My programming skills have improved, and I learned to create.
Amel Docena
MS in Data Science, 2020
I learned to approach a data science problem, determine the value in the obscure data, what algorithms will apply, and the story I can tell. My programming skills have improved, and I learned to create.
Amel Docena
MS in Data Science, 2020
Next Steps
Next Steps
© 2023 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
© 2023 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...