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Data Science MS

Master of Science

Overview

The online Master of Science in Data Science program at CSP Global teaches you how to solve complex challenges with data methodologies, preparing you to contribute to a variety of industries. Throughout the course of our affordable graduate program, you will be equipped with a comprehensive set of skills to work effectively with data, learning how to extract valuable insights and make data-driven decisions to drive predictable outcomes.

Program
Details

Program Length

30 Credits

Location

Online

INJECTED (pageContentCenter; 42180 : Data Science MS)
  • Career-Centered Program: The online data science master’s program prepares you to make data-driven decisions that drive results in a variety of industries.
  • Designed for Busy Professionals: Complete your master’s in data science fully online and in as few as 12 months while you continue to build your career.
  • Programming Skills: Develop strong programming skills and a solid understanding of data engineering concepts.
  • In-Demand Expertise: Gain essential skills and knowledge, including data engineering, machine learning, data visualization, storytelling, big data technologies, experimental design, and ethical data practices.
$ 600

Cost per credit

Jumpstart Your Future

Career Paths

Market Research Analyst $ 68,230
Financial Risk Specialist $ 102,120
Data Scientist $ 103,500
Learn More About CSP Global

Masters/Doctoral RFI

Name(Required)
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UTM Hidden Field Code //Create program name from url // Use window.onload to ensure the code runs after all page resources are loaded window.onload = function () { // Get the current URL const currentURL = window.location.href; // Find “.edu/” in the URL const eduIndex = currentURL.indexOf(“.edu/”); if (eduIndex !== -1) { // Extract everything after “.edu/” and remove any query string const programNameWithQuery = currentURL.substring(eduIndex + 5); const programNameWithoutQuery = programNameWithQuery.split(“?”)[0]; // Set the value of the hidden input field by name const programNameField = document.querySelector(‘[name=”program_name”]’); if (programNameField) { programNameField.value = programNameWithoutQuery; // Add an event listener to the input field to remove slashes programNameField.addEventListener(“input”, function () { this.value = this.value.replace(/\//g, “”); }); } } }; //Push cookied UTMs to hidden fields // Function to get the value of a cookie by its name. function getCookieValue(cookieName) { var name = cookieName + “=”; var decodedCookies = decodeURIComponent(document.cookie); var cookieArray = decodedCookies.split(‘;’); for (var i = 0; i < cookieArray.length; i++) { var cookie = cookieArray[i].trim(); if (cookie.indexOf(name) === 0) { return cookie.substring(name.length, cookie.length); } } return ""; } // Function to populate form fields with UTM cookie values. function populateFormFields() { // Define a mapping of cookie names to form field names. var cookieFieldMap = { "utm_id": "cookie_utm_id", "utm_source": "cookie_utm_source", "utm_medium": "cookie_utm_medium", "utm_campaign": "cookie_utm_campaign", "utm_term": "cookie_utm_term", "utm_content": "cookie_utm_content", "utm_source_platform": "cookie_utm_source_platform", "utm_campaign_id": "cookie_utm_campaign_id" }; // Iterate through the cookie-field mapping and populate the form fields. for (var cookieName in cookieFieldMap) { var fieldName = cookieFieldMap[cookieName]; var fieldValue = getCookieValue(cookieName); // Find the form field by name and set its value. var field = document.getElementsByName(fieldName)[0]; // Assuming the first matching field. if (field) { field.value = fieldValue; // Log the field name, cookie name, and value to the console for testing. console.log("newcode #1"); console.log("Field Name: " + fieldName); console.log("Cookie Name: " + cookieName); console.log("Field Value: " + fieldValue); } else { // Log a message if the field is not found. console.log("Field not found for cookie: " + cookieName); } } } // Add an event listener for DOMContentLoaded to execute the code when the DOM is loaded. document.addEventListener("DOMContentLoaded", function () { // Call the populateFormFields function on DOM load. populateFormFields(); }); // Add an event listener for form submission to log field values when the form is submitted. var form = document.forms[0]; // You might need to specify the correct form index. if (form) { form.addEventListener("submit", function (event) { // Log form field values before submitting the form. populateFormFields(); }); }
TUITION & FINANCIAL AID

  • Most affordable private university in MN
  • Flexible payment options
  • $2,000 partnership scholarships available

Learn More
ADMISSIONS REQUIREMENTS

Full Requirements

Courses

  • This course provides a comprehensive exploration of Enterprise Architecture (EA), focusing on strategic planning and technical research. It equips students with the skills to design, implement, and manage architectures that align an organization’s business strategy, processes, information systems, and technology infrastructure to achieve success.

  • The CSP Project Management, Systems Development & Risk course offers an integrated study of project management principles, systems development methodologies, and risk management practices within the context of complex global IT projects. This course is designed for students and professionals seeking a comprehensive understanding of how to effectively manage projects, develop robust IT systems, lead diverse multi-disciplined teams and proactively address project risks for successful project delivery.

  • The CSP Database Systems course offers a comprehensive study of the principles, design methodologies, and practical applications of database management systems to support the enterprise of the future (DBMS). This course is designed for students and professionals interested in understanding the core concepts of database systems and developing the skills to design, implement, and manage databases and datasets for various applications.

  • The CSP Artificial Intelligence and High-Performance Computing and Ethical Considerations course offers an integrated study of the principles, techniques, ethical considerations and applications of artificial intelligence (AI) in combination with high-performance computing (HPC). This course is designed for students and professionals interested in harnessing the power of advanced computing technologies to develop and deploy AI solutions that can process vast amounts of data and solve complex problems at scale.

  • The CSP Cloud Architecture and Infrastructure course provides a comprehensive study of cloud computing principles, design methodologies, and best practices for architecting scalable and reliable cloud-based, hybrid, and multi-cloud solutions assisting global organizations design and build the architectures and infrastructures of the future. This course is designed for students and professionals interested in understanding how to design, deploy, and manage cloud infrastructure to meet the demands of modern global enterprises utilizing advanced applications and services.

  • This course offers an in-depth study of the principles, algorithms, and applications of machine learning and AI technologies. By the end of the course, you will possess the knowledge and skills to design, implement, and deploy machine learning and AI solutions to address complex challenges across various industries.

  • This course provides an in-depth exploration of the essential tools, software, and programming languages used in the field of data science. Become equipped to efficiently handle data-driven projects and apply data science techniques in a variety of domains, such as business analytics, research, healthcare, and finance.

  • Engage in a comprehensive study of the principles, methodologies, and applications of NLP, a branch of artificial intelligence that focuses on the interaction between computers and human language. Learn the skills you need to design, implement, and evaluate NLP solutions in a wide range of applications, such as virtual assistance, sentiment analysis, machine translation, and information retrieval.

  • This course provides a comprehensive study of the principles, practices, and tools related to DataOps, a methodology that combines the principles of DevOps with data management to enable efficient, Agile business processes. Learn to implement DataOps practices to optimize data processes, improve data collaboration, and accelerate data delivery.

  • Explore the principles, algorithms, and applications of reinforcement learning, a subfield of artificial intelligence focused on training agents to make decisions in dynamic and uncertain environments. By the end of the course, you will possess a solid understanding of reinforcement learning principles, algorithms, and applications.

Online student sitting on couch with laptop in front of him taking notes on a notepad and wearing a headset.

APPLY TO CSP GLOBAL

Start your application to CSP Global today!

Apply Now
  • Career-Centered Program: The online data science master’s program prepares you to make data-driven decisions that drive results in a variety of industries.
  • Designed for Busy Professionals: Complete your master’s in data science fully online and in as few as 12 months while you continue to build your career.
  • Programming Skills: Develop strong programming skills and a solid understanding of data engineering concepts.
  • In-Demand Expertise: Gain essential skills and knowledge, including data engineering, machine learning, data visualization, storytelling, big data technologies, experimental design, and ethical data practices.
$ 600

Cost per credit

Jumpstart Your Future

Career Paths

Market Research Analyst $ 68,230
Financial Risk Specialist $ 102,120
Data Scientist $ 103,500
Learn More About CSP Global

Masters/Doctoral RFI

Name(Required)
May We Text You?
Hidden
UTM Hidden Field Code //Create program name from url // Use window.onload to ensure the code runs after all page resources are loaded window.onload = function () { // Get the current URL const currentURL = window.location.href; // Find ".edu/" in the URL const eduIndex = currentURL.indexOf(".edu/"); if (eduIndex !== -1) { // Extract everything after ".edu/" and remove any query string const programNameWithQuery = currentURL.substring(eduIndex + 5); const programNameWithoutQuery = programNameWithQuery.split("?")[0]; // Set the value of the hidden input field by name const programNameField = document.querySelector('[name="program_name"]'); if (programNameField) { programNameField.value = programNameWithoutQuery; // Add an event listener to the input field to remove slashes programNameField.addEventListener("input", function () { this.value = this.value.replace(/\//g, ""); }); } } }; //Push cookied UTMs to hidden fields // Function to get the value of a cookie by its name. function getCookieValue(cookieName) { var name = cookieName + "="; var decodedCookies = decodeURIComponent(document.cookie); var cookieArray = decodedCookies.split(';'); for (var i = 0; i < cookieArray.length; i++) { var cookie = cookieArray[i].trim(); if (cookie.indexOf(name) === 0) { return cookie.substring(name.length, cookie.length); } } return ""; } // Function to populate form fields with UTM cookie values. function populateFormFields() { // Define a mapping of cookie names to form field names. var cookieFieldMap = { "utm_id": "cookie_utm_id", "utm_source": "cookie_utm_source", "utm_medium": "cookie_utm_medium", "utm_campaign": "cookie_utm_campaign", "utm_term": "cookie_utm_term", "utm_content": "cookie_utm_content", "utm_source_platform": "cookie_utm_source_platform", "utm_campaign_id": "cookie_utm_campaign_id" }; // Iterate through the cookie-field mapping and populate the form fields. for (var cookieName in cookieFieldMap) { var fieldName = cookieFieldMap[cookieName]; var fieldValue = getCookieValue(cookieName); // Find the form field by name and set its value. var field = document.getElementsByName(fieldName)[0]; // Assuming the first matching field. if (field) { field.value = fieldValue; // Log the field name, cookie name, and value to the console for testing. console.log("newcode #1"); console.log("Field Name: " + fieldName); console.log("Cookie Name: " + cookieName); console.log("Field Value: " + fieldValue); } else { // Log a message if the field is not found. console.log("Field not found for cookie: " + cookieName); } } } // Add an event listener for DOMContentLoaded to execute the code when the DOM is loaded. document.addEventListener("DOMContentLoaded", function () { // Call the populateFormFields function on DOM load. populateFormFields(); }); // Add an event listener for form submission to log field values when the form is submitted. var form = document.forms[0]; // You might need to specify the correct form index. if (form) { form.addEventListener("submit", function (event) { // Log form field values before submitting the form. populateFormFields(); }); }
TUITION & FINANCIAL AID

  • Most affordable private university in MN
  • Flexible payment options
  • $2,000 partnership scholarships available

Learn More
ADMISSIONS REQUIREMENTS

Full Requirements

Courses

  • This course provides a comprehensive exploration of Enterprise Architecture (EA), focusing on strategic planning and technical research. It equips students with the skills to design, implement, and manage architectures that align an organization’s business strategy, processes, information systems, and technology infrastructure to achieve success.

  • The CSP Project Management, Systems Development & Risk course offers an integrated study of project management principles, systems development methodologies, and risk management practices within the context of complex global IT projects. This course is designed for students and professionals seeking a comprehensive understanding of how to effectively manage projects, develop robust IT systems, lead diverse multi-disciplined teams and proactively address project risks for successful project delivery.

  • The CSP Database Systems course offers a comprehensive study of the principles, design methodologies, and practical applications of database management systems to support the enterprise of the future (DBMS). This course is designed for students and professionals interested in understanding the core concepts of database systems and developing the skills to design, implement, and manage databases and datasets for various applications.

  • The CSP Artificial Intelligence and High-Performance Computing and Ethical Considerations course offers an integrated study of the principles, techniques, ethical considerations and applications of artificial intelligence (AI) in combination with high-performance computing (HPC). This course is designed for students and professionals interested in harnessing the power of advanced computing technologies to develop and deploy AI solutions that can process vast amounts of data and solve complex problems at scale.

  • The CSP Cloud Architecture and Infrastructure course provides a comprehensive study of cloud computing principles, design methodologies, and best practices for architecting scalable and reliable cloud-based, hybrid, and multi-cloud solutions assisting global organizations design and build the architectures and infrastructures of the future. This course is designed for students and professionals interested in understanding how to design, deploy, and manage cloud infrastructure to meet the demands of modern global enterprises utilizing advanced applications and services.

  • This course offers an in-depth study of the principles, algorithms, and applications of machine learning and AI technologies. By the end of the course, you will possess the knowledge and skills to design, implement, and deploy machine learning and AI solutions to address complex challenges across various industries.

  • This course provides an in-depth exploration of the essential tools, software, and programming languages used in the field of data science. Become equipped to efficiently handle data-driven projects and apply data science techniques in a variety of domains, such as business analytics, research, healthcare, and finance.

  • Engage in a comprehensive study of the principles, methodologies, and applications of NLP, a branch of artificial intelligence that focuses on the interaction between computers and human language. Learn the skills you need to design, implement, and evaluate NLP solutions in a wide range of applications, such as virtual assistance, sentiment analysis, machine translation, and information retrieval.

  • This course provides a comprehensive study of the principles, practices, and tools related to DataOps, a methodology that combines the principles of DevOps with data management to enable efficient, Agile business processes. Learn to implement DataOps practices to optimize data processes, improve data collaboration, and accelerate data delivery.

  • Explore the principles, algorithms, and applications of reinforcement learning, a subfield of artificial intelligence focused on training agents to make decisions in dynamic and uncertain environments. By the end of the course, you will possess a solid understanding of reinforcement learning principles, algorithms, and applications.

Online student sitting on couch with laptop in front of him taking notes on a notepad and wearing a headset.

APPLY TO CSP GLOBAL

Start your application to CSP Global today!

Apply Now