Top 30 Masters in Data Analytics Degree Program
Gaining a masters degree in data analytics from one of the best data science schools is a great way to get the skills and experience you need to excel in this competitive field and give your employer an edge over the competition. In this writing, we have carefully listed the Top Masters in Data Analytics Degree Program available at reliable and technology-driven institutions across the world.
What is DATA ANALYTICS?
The analysis of the data begins with its roots in statistics, which in and of itself originates in a long history in the period of pyramid construction in Egypt. In other, but still early, forms of analysis, data analysis can be seen in censuses, taxation, and other government functions around the world.
With the development of computers and a growing movement toward technological intertwining, data analysis began to evolve. Early data analysts use tabbing machines to count punch card data.
Today, data analysts can be found in a wide variety of industries, using programming languages and statistics to extract, classify and present data in various ways, for the benefit of the organization, people and/or company.
While many colleges offer a mix of evening classes, weekends, and online, some of the programs mentioned here still require you to be present on campus to complete your master’s degree in data science.
If you are looking for a local university, decide if you would like to participate in campus, hybrid or online data science program.
Masters in Data Analytics
Obtaining masters in Data Analytics is a good choice for professionals with experience in STEM-interested in learning how to collect, organize and analyze data inside or outside a business context. These students will learn to be systems architects who prepare data for advanced analysis and will focus on mastering the tools and techniques used for data analysis and control.
Courses included in a Data Analytics Masters degree will give students hands-on experience with analytical techniques such as multiple regression and logistic regression, teaching them how to find critical patterns in data sets.
Data Analytics Masters degree also provides students with the skills needed to extract meaning from raw data, develop analytical dashboards for non-technical users, as well as create graphs and other visually appealing presentations to fully explain their findings.
A postgraduate program in data analysis usually focuses on mathematical and programming skills and tools; This provides students with the knowledge they need to transform the organization’s data into a usable resource.
This master’s program is suitable for specialized and non-specialist graduates who would like to transform decision making and business planning by leveraging the latest technologies and techniques associated with extracting valuable information from large datasets.
How to become a Data Analyst- Entry qualifications
In the journey of learning how to become a data analyst, the student will need to possess a bachelor’s degree with a significant mathematical component and required work experience OR any other equivalent qualification approved by the University Senate.
Masters in Data Analytics
This course will give you the skills you need to take advantage of the opportunities that Big Data offers. Obtaining this essential knowledge will enable you to apply data processing methods to inform your business decisions and ensure that your company’s information systems are aligned with business goals and strategies.
You will study in Germany, the most popular choice for international students wishing to study in Europe especially while seeking to obtain a masters degree in data analytics. Germany is recognized for its high-quality education.
Learn a number of essential marketing skills, including statistical analysis and interpretation of large datasets, with this program delivered and awarded by Arden University.
All content is approved by the Chartered Institute of Marketing (CIM), which means you will study the most relevant topics and add even more value to your diploma when submitting your assessments to the CIM.
The program taught in English and Germany.
This online Masters in Data Analysis and Human Resource Management will provide you with valuable insight into how the applied data can inform the HR decisions that will benefit your business.
Our flexible course offers the ability to work together with your studies and will equip you with a solid understanding of the role of human resource management, including how staff productivity can be analyzed in rewards management.
This postgraduate course in Data Analysis and Project Management will give you insight into how data can help guide project management decisions as well as evaluate project performance.
Our flexible course offers the ability to work together with your studies, giving you the advantage of progressing in your current career with the confidence to take over and manage business projects.
Kedge’s data marketing training trains versatile experts who will evolve in an ever-changing environment. Combining data with the mastery of digital marketing techniques, the Master meets the challenges of the market in the lack of managerial know-how in these areas.
With digital, new professions and new practices are emerging, leading to a real need for training.
The MSc in Business Engineering is a business administration program that focuses on management science (data-driven), business processes and technology. These three disciplines are educated throughout the two-year masters program in different ways through theoretical lectures, practical case studies, and business games as well as guest speakers and company projects. The master’s program teaches these subjects both theoretically and practically.
Our new Master of Science in Logistics, Data Analysis, and Supply Chain Management program is designed for those considering extending their knowledge beyond existing discipline and ensuring a career in logistics, supply chain, and transportation.
The program is designed with input from logistics and supply chain professionals and focuses on the integration of data analysis techniques related to this field of business.
Data analysis is an exciting field of rapid developments. Data is everywhere and continues to grow massively, creating a huge growth in demand for qualified specialists so that they can derive the real benefit from the data.
The role of a data scientist is highly diverse, overlapping many areas of computer science, fundamentals of mathematics, statistics, modeling, and analysis, requiring the right skills to see the details, solve the problem (having specified the problem!), and effectively communicate the findings to colleagues to empower them to make decisions.
The MSc in Intensive Data Analysis is an interdisciplinary course that provides students with an understanding of how data is used to gain insights useful in all areas of scientific endeavor. The program has a substantive statistical component – theory and practice – allied to science and visualization of computational data.
The MSc in Intensive Data Analysis is a one-year program collaboratively taught by the School of Computer Science and Mathematics and Statistics. The course consists of two semesters of taught modules, followed by an 11-week project that led to the presentation of a 15,000-word dissertation in August.
The PGDip / Masters in Applied Statistics and Data Mining is a commercially relevant study program that provides students with the statistical analysis skills necessary for business, commerce, and other applications.
The PGDip / Masters in Applied Statistics and Data Mining is a one-year program run by the School of Mathematics and Statistics. The course is intended for those with a good grade containing quantitative elements who wish to obtain statistical analysis skills.
Data analysis plays a central role in the modern information society. Organizations in the public and private sectors are collecting large data sets and public sector data are increasingly open. However, if it is necessary to make full use of this data, they must first be analyzed.
The program teaches you to understand data analysis and master the necessary skills such as data cleansing, integration, modeling and prediction, and interactive exploration of data and models. You will also learn how to present the results from data analysis to decision-makers with abstracts and descriptive views.
The goal of the Master is to produce well-trained professionals in Bioinformatics and Data Analysis Omics, who after graduation would be able to perform efficient and rigorous analysis of large amounts of genetic and molecular data in a wide range of applications.
The master responds to the increasing use of highly productive omic techniques, both in the context of biomedical research and in the pharmaceutical and biotechnology sectors, as well as the growing demand for highly qualified professionals in this field.
Data analysis is the science of interpreting large amounts of complex data to make sound decisions. MASTERS in Data Analytics focuses on developing and applying data analysis skills to meet the significant needs of the business community.
Students will integrate business concepts as well as key methods and tools for large data modeling, analysis, and resolution of challenging problems involving “Big Data”.
Data in all forms continues to expand and become more readily available to both business and consumer. When this happens, the demand for those who can interpret it and apply it to gain a competitive advantage will also increase.
UIndy provides a curriculum that prepares you to meet this demand while bringing valuable skills to the market. Learn how to analyze quantitative and qualitative data to improve production and organizational performance.
Your proficiency in the big data exam will allow you to reveal hidden patterns, connections and other perceptions. Our program helps you become a specialist in this emerging and fast-growing field.
The College of Management (C.O.M.) in L.I.U. Post offers a new Master of Science in Data Analysis and Strategic Business Intelligence (MDA) with 30 credits, with a combination of data science, IT and business courses to prepare students for the demand in the industries of data managers and scientists with solid business knowledge and analytical skills.
M.D.A. program is designed for new graduates or professionals working in their early or intermediate stages. The ideal student should have basic quantitative and IT knowledge and skills through previous courses or work experience, and be highly motivated to learn how to handle data as a strategic asset and apply analytical and IT methods to make business decisions based on data.
Learn how to use big data to form and implement effective strategies in a management role. The data analysis program of Northern Illinois University’s accredited data analysis program prepares you to analyze and visualize complex data, solve problems, and communicate your findings and justifications to others.
At graduation, you will receive a joint data analysis certification from NIU and SAS, the leader in data analysis software, and qualified to participate in two industry certification exams: the Data Science exam and the Big Data Analytics Certification.
Data analysis is a field of rapid growth and often the key to business strategy and the solution to complex issues. Data analysts are sought after in almost every field.
In fact, in a recent study, IBM predicts that by 2020 the demand for data professionals will increase by 364,000 to 2,720,000.
The Master of Science in Government Analytics prepares students to become leaders in the data revolution. Students will develop expertise in analytical methods that are increasingly entrusted to government agencies, nonprofits, and the private sector.
Through the use of cutting-edge tools and skills, students will be able to face contemporary political, political and governance challenges.
The Johns Hopkins MASTERS in Government Analytics curriculum provides students with a broad set of fundamental skills in statistical analysis and offers the opportunity to develop expertise in a specific analytical area.
The MS in Business Intelligence and Data Analytics (MS BIDA) online program teaches precisely the three critical skills professionals to need to analyze data that are rare in a single individual: business intelligence, presentation, and data analysis.
Rapid growth and affordability enable managers in every department – from marketing and analysis to purchasing and HR to business development and accounting – to be able to accurately identify the cause of organizational problems and the strategy behind of successful solutions.
This online course provides the deep statistical knowledge and technical skills you need to become a data scientist, engineer, and analyst in just 18 months.
You will learn how to provide a process that transforms raw data into a decision-making context and leverages technology to create informed strategies and intelligent systems.
Learn in a career-focused curriculum. The program is taught by teachers with rich industry experience and connections.
The Master of Information Technology (MSIT) program is designed to prepare students for the knowledge and skills essential to effectively and efficiently lead and manage small and large companies within a technology-driven, organizational or individual world.
The MSIT program emphasizes practical and practical education with the ideal integration of academic theories with the real world, where information technology is used.
The MSA program is the first MSc specializing in accounting data and analysis in Asia. Unlike any other postgraduate analysis program, the MSA data and analysis track is deepened in the application of data technology in the accounting field.
The program is designed for professionals interested in developing expertise in the application of data technology in their domain knowledge to solve business problems, especially in the financial and accounting sectors.
In line with the growing attention given by the Saudi government to laying the foundations for a knowledge-based economy, the joint MSc Computing proposal consists of a large Data Analytics collaboration with Dublin City University (DCU) designed to equip graduates with a range of cutting-edge skills to enable them to produce high quality software and systems that provide business and economic solutions.
Exposed to the latest insights and industry best practices, students will have the opportunity to hone their analytical, creative and critical faculties as well as acquire new techniques and experiences.
This program prepares participants for successful careers by helping organizations make better decisions through analysis. It prepares participants to work effectively with complex real-world data and create value from it.
The program is based on a holistic educational experience, where theory and practice are fully intertwined through the ongoing support of partners from the public and private sectors.
This program will be the only program in the United Arab Emirates, ensuring graduates are highly sought after translators in the industry.
This program opens opportunities for students who want to shine from their career perspective in data analysis in acquiring in-depth skills and knowledge to analyze, process, transform and visualize data invaluable information.
The major master’s in analysis at Georgetown University is offered through a partnership with the Department of Computer Science and the Department of Mathematics and Statistics.
This rigorous program provides students with training in mathematical, computational and statistical methods. The program is open to recent graduates and professionals seeking progress or a new career.
The Applied MSc Program in Statistics and Data Analysis at Southern Methodist University in Dallas, Texas was designed to prepare students with a solid statistical base and analytical skills to solve complex problems.
Students can complete their course in as little as 18 to 24 months. MASTERS applied in Statistics and Data Analysis offers courses focused on:
- statistical methods in epidemiology
- time series analysis
- database management
- statistical computing,
- computational statistics
The University of Central Florida has an interdisciplinary 30-credit master’s degree in data analysis offered by the Faculty of Engineering and Computer Science and the Faculty of Science. Students can complete their course in only 16 to 20 months.
The instruction is in a face-to-face format with courses offered evenings and weekends. Students go through the program in a cohort, resulting in strong support and interaction among peers.
Courses are offered during the evening or weekend to accommodate working professionals.
The University of Oklahoma has one of the top master’s degrees in data science and analysis program offered in conjunction with the Schools of Computer Science and Industrial and Systems Engineering. Full-time students can get their diploma in just 14 months.
Part-time opportunities are also available for students unable to commit to a full-time schedule. Courses are offered online, on-campus or in a mix of both. An internship experience is offered to students upon completion of all core courses.
The main course covers computational structures, algorithm analysis, intelligent data analysis, and engineering statistical analysis.
Northwestern University’s McCormick School of Engineering offers a master’s degree in the analysis. It combines mathematical and statistical studies with advanced IT and data management.
Students complete an eight-month internship project, a three-month summer internship, and a 10-week completion project, making them well-equipped for the workforce.
The program follows a cohort format, with about 40 students in each cohort. Students are on full-time campus and can expect to receive their diploma within 15 months.
Ranked 6th in the US National News and World Ranking of its Master of Science in Computer Information Systems, Boston University is a leader in the area of CIS and innovation. The MSc in Data Analysis exposes students to various topics including:
- data mining
- mining text,
- web mining
Courses are offered in both online and traditional format, the program is flexible enough for working professionals.
Georgia Tech offers an interdisciplinary on-campus and online masters degree in data analytics. The campus program can be completed in just one year. Students can choose from several program ranges, including:
- analytical tools
- business analyst
- computational data analysis
Courses are offered in a cohort format, students complete several courses together before branching out into their area of expertise.
The Institute for Advanced Analytics at North Carolina State University is considered one of the leading data science institutions according to the Harvard Business Review.
The master’s in 10-month cohort-based analysis provides students with teamwork and personalized training. The curriculum is reviewed regularly to reflect the changing needs of the business.
In terms of graduate employability, NCSU has almost a near-perfect professional placement rate per undergraduate and a starting salary average for new graduates of more than $98,000 / year.
The New York University master’s program in data science is a highly selective two-year program designed for students who excel in mathematics, computer science, and applied statistics.
A key feature of the program is the capstone project. Students will use their knowledge and skills to develop and implement a solution to solve a real-world problem. Students may seek out those senior masters accredited in data science full-time or part-time.
The Institute of Data Science at Columbia University offers one of the top masters in data science program. The program is based on courses offered through the Certification of Professional Achievement in Data Sciences program.
Students are involved in research, including a final project. The program can be completed by both full-time and part-time students, with full-time students earning their diploma in just three semesters.
How much can I earn with a Masters in Data Analytics Degree?
Earning a diploma in data analysis offers you data management skills that can lead to many valuable data and technical careers. With sound educational in-database analyzes and related disciplines, you are well qualified for many high-paying data technology positions.
Just think of your next job or career with artificial intelligence, FINTECH, blockchain or starting with Cryptocurrency! There is nothing more valuable today than a degree in Data or Business Analytics.
Jobs requiring machine learning pay an average of $114,000. Advertised data scientist jobs pay on average $ 105,000 and advertised data engineering jobs pay on average $117,000.
The Bureau of Labor Statistics of BLS states that the median wage in 2013 for all employees with a master’s degree was $ 68,000 and $ 56,000 for those with a bachelor’s degree – a difference of $12,000.
BLS also notes that there is a certain amount of reward for obtaining a master’s degree in STEM professions – science, technology, engineering, and mathematics.
For example, BLS data shows that the median salary for statisticians and mathematicians (closely related to data analysis) for people with a Bachelor’s degree in 2013 was $60,000. For people with a master’s degree, the median salary was $80,000. This is a premium of $20,000.
In the field of data analysis, the evidence found suggests that earning a master’s degree, in the long run, maybe worth earning a higher salary. Payscale.com reports the following average salary for vacancies at ‘big data analytics’ by degree:
Bachelor of Science: $95,779
Master of Science: $102,254
Bachelor of Art: $83,597
All in all, since the data have become easier to collect, they are more abundant and need to be analyzed. These “big data” operations continue to grow and offer promising job opportunities for those seeking to address raw information.
Exploring the Top 30 Masters in Data Analytics Degree Program and applying for it, increases the chance of a promising career. Careers often offered to graduates with a Master of Science in Data Analysis include data engineer, data analysis manager, and software engineer. Take advantage of it.
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