{"id":1362,"date":"2022-09-02T11:09:14","date_gmt":"2022-09-02T15:09:14","guid":{"rendered":"https:\/\/www.bridgeport.edu\/news\/?p=1362"},"modified":"2025-01-06T16:51:03","modified_gmt":"2025-01-06T21:51:03","slug":"what-can-you-do-masters-in-data-analytics","status":"publish","type":"post","link":"https:\/\/www.bridgeport.edu\/news\/what-can-you-do-masters-in-data-analytics\/","title":{"rendered":"What Can You Do with a Master\u2019s in Data Analytics? 9 Careers to Consider"},"content":{"rendered":"<h2>(and their median salaries)<\/h2>\n<p>Are you thinking of a career change? A lot of folks looking for a new direction are finding success in a shift to data analytics. If you have an eye for detail and a drive to solve the problems facing today\u2019s businesses, a master\u2019s in Data Analytics is a direction to consider.<\/p>\n<p>Modern technology now provides industries of all kinds with the ability to gather vast amounts of data. But data requires more than just flashy dashboards and reports. In order to make better, data-driven business decisions, employers require hybrid IT\/business professionals to make the data meaningful. Let\u2019s take a look at a few career options that would be open to someone who holds a master&#8217;s in Data Analytics.<\/p>\n<h2>1.\u00a0 Data Analyst<\/h2>\n<p>A data analyst is the perfect entry position for many new master\u2019s graduates. And with a typical starting salary hovering around $50,000 it\u2019ll be sure to pay the bills as well.<\/p>\n<p>A typical day in this job will include:<\/p>\n<ul>\n<li><strong>Data Collection.<\/strong> Collecting data from reliable, accurate and safe sources. You\u2019ll then record this data and store it in existing databases.<\/li>\n<li><strong>Data Cleaning.<\/strong> Not every piece of data collected is used in interpretation, analysis, or decision-making. An entry-level data analyst performs data cleaning through different tasks that make the data both usable and standardized.<\/li>\n<li><strong>Making Reports.<\/strong> After conducting basic analyses, you\u2019ll have to write reports about your findings, primarily using tools like Power Bi and MS Excel (both programs covered in most Data Analytics degree programs).<\/li>\n<\/ul>\n<h2>2.\u00a0 Chief Data Officer<\/h2>\n<p>After serving a few years as a data analyst, you may decide to move on to a chief data officer position. This job is for those with some time in the field, cutting their teeth at an entry-level job. Salaries can range from $135,000 to $1,000,000 with the <a href=\"https:\/\/www.comparably.com\/salaries\/salaries-for-chief-data-officer#:~:text=Salary%2520Ranges%2520for%2520Chief%2520Data,the%2520top%252075%2525%2520making%2520%25241%252C000%252C000.\">median salary of $282,500.<\/a><\/p>\n<p>A typical day in this position might include:<\/p>\n<ul>\n<li>Creating data management systems for secure and efficient data processing and collection<\/li>\n<li>Establishing an organizational culture that eases data sharing to make informed decisions<\/li>\n<li>Ensuring that information access is authorized<\/li>\n<li>Developing meaningful systems for data analysis<\/li>\n<\/ul>\n<h2>3.\u00a0 Data Scientist<\/h2>\n<p>A data scientist is another typical entry position for those beginning their work in data analytics, after earning a master\u2019s degree. The average salary of this position is slightly higher, at $108,660 per year, according to the Bureau of Labor Statistics (<a href=\"https:\/\/www.bls.gov\/oes\/current\/oes152051.htm\">BLS<\/a>).<\/p>\n<p>A typical day in this job will include:<\/p>\n<ul>\n<li>Creating frameworks for data analysis to happen<\/li>\n<li>Implementing statistical models and algorithms<\/li>\n<li>Running data testing and experiments<\/li>\n<li>Continually optimizing frameworks to better analyze the data<\/li>\n<\/ul>\n<h2>4.\u00a0 Logistics Analyst<\/h2>\n<p>With a master\u2019s degree, you can also enter data analytics as a logistics analyst. The<a href=\"https:\/\/www.payscale.com\/research\/US\/Job=Logistics_Analyst\/Salary\"> salary range<\/a> for this entry-level position is between $44,000 and $83,000. The <a href=\"https:\/\/www.bls.gov\/oes\/current\/oes131081.htm\">BLS<\/a> reports a national average wage of $79,230 per year.<\/p>\n<p>A typical day in this job will include:<\/p>\n<ul>\n<li>Using data to identify potential profit loss within the supply chain<\/li>\n<li>Leveraging data to develop cost-saving solutions<\/li>\n<li>Making production, distribution, and delivery of products more efficient<\/li>\n<\/ul>\n<h2>5.\u00a0 Big Data Architect<\/h2>\n<p>We all hear about \u201cbig data,\u201d usually in a negative way. Becoming a big data architect can help you not only understand how big data works, but also be part of the solution to use data ethically and responsibly. The <a href=\"https:\/\/www.payscale.com\/research\/US\/Job=Data_Architect\/Salary\">average salary<\/a> of this position comes in at $119,249.<\/p>\n<p>A typical day in this job might include:<\/p>\n<ul>\n<li>Designing structures an organization needs to effectively acquire, organize, analyze, manage, and utilize data<\/li>\n<li>Translating business objectives into a data management framework<\/li>\n<li>Defining how data will flow through the framework<\/li>\n<li>Working with other teams and engineers to develop the framework and implement it across the organization<\/li>\n<\/ul>\n<h2>6.\u00a0 Business Systems Analyst\/Management Analyst<\/h2>\n<p>A mid-level position for Data Analytics degree holders, business system analysts and management analysts\u2019 average salary can range between <a href=\"https:\/\/www.bls.gov\/ooh\/business-and-financial\/management-analysts.htm#tab-5\">$93,000<\/a> and <a href=\"https:\/\/www.bls.gov\/ooh\/computer-and-information-technology\/computer-systems-analysts.htm\">$100,000<\/a> annually, according to the Bureau of Labor Statistics.<\/p>\n<p>A typical day in this job will include:<\/p>\n<ul>\n<li>Identifying ways to optimize systems, cut costs, and make IT more effective<\/li>\n<li>Researching new systems and tools to improve IT<\/li>\n<li>Assisting in rolling out new systems across departments<\/li>\n<\/ul>\n<h2>7.\u00a0 Machine Learning Engineer<\/h2>\n<p>The Machine Learning Engineer is a specialist role still in its infancy. While the job description may still be in flux, the <a href=\"https:\/\/www.payscale.com\/research\/US\/Job=Machine_Learning_Engineer\/Salary\">average salary is high<\/a>, coming in at $110,739. Typically this role will require a background in math, physics, or statistics as well as a specialized master\u2019s degree or PhD.<\/p>\n<p>A typical day in this job might include:<\/p>\n<ul>\n<li>Collaborating with the organization\u2019s data science team to build programs and create algorithms<\/li>\n<li>Delivering data-driven products and services that enable machines to make decisions, take action, and enhance user experience<\/li>\n<li>Projects that are in need of Machine Learning Engineers include self-driving cars and personalized social media news feeds.<\/li>\n<\/ul>\n<h2>8.\u00a0 Chief Technology Officer<\/h2>\n<p>A newer C-suite role, the Chief Technology Officer usually pops up in corporate IT departments, consulting firms, or finance-related organizations. As an advanced career position, the <a href=\"https:\/\/www.payscale.com\/research\/US\/Job=Chief_Technology_Officer_(CTO)\/Salary\">average salary<\/a> comes in at $159,149.<\/p>\n<p>A typical day in this job will include:<\/p>\n<ul>\n<li>Employing expert-level knowledge of technological trends<\/li>\n<li>Conducting technological analysis while looking at ways in which you can ensure your organization stands out in an ever-increasing competitive marketplace<\/li>\n<li>Using leadership and organizational skills to build a team that considers which technologies are best to harness in order to ensure a positive user experience and ensure efficiency across all areas of the business.<\/li>\n<\/ul>\n<h2>9.\u00a0 Business\/Analytics Translator<\/h2>\n<p>Last, but certainly not least, on our list is the Business\/Analytics translator. A position that combines basic knowledge in both analytics and business, the <a href=\"https:\/\/www.indeed.com\/salaries\/Data-Science-Translator-Salaries\">average salary<\/a> is $53,552.<\/p>\n<p>A typical day in this job might include:<\/p>\n<ul>\n<li>Filling the gap between an organization\u2019s business team and technology team<\/li>\n<li>Ensuring that focus stays on an organization\u2019s values and objectives while communicating effectively with those on the data science team.<\/li>\n<li>Clearing up any confusion, miscommunication, or errors that arise between the technology and business teams in an organization<\/li>\n<\/ul>\n<p>As you can see, there is an array of unique and rewarding careers in the field of data analytics. With a master\u2019s degree in hand, you can enjoy career prospects where you can make a real impact in the future of businesses. Not to mention, the earning potential is high. No matter what you do with a master\u2019s in Data Analytics, you are bound to reap the reward.<\/p>\n<p><a href=\"https:\/\/www.bridgeport.edu\/academics\/programs\/analytics-ms\/careers\">Learn more about the master\u2019s in Data Analytics career outcomes here.<\/a><\/p>\n<p>Are you interested in launching a career in Data Analytics, or advancing in your current position? The 911爆料网\u2019s <a href=\"https:\/\/www.bridgeport.edu\/academics\/programs\/analytics-ms\/\">master\u2019s degree in Data Analytics<\/a> is helping to prepare the next generation of technical, conceptual, and critical data scientists.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>What can you do with a Master\u2019s degree in Data Analytics? Find out the different career options available after graduate school <a href=\"https:\/\/www.bridgeport.edu\/news\/what-can-you-do-masters-in-data-analytics\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">What Can You Do with a Master\u2019s in Data Analytics? 9 Careers to Consider<\/span><\/a><\/p>\n","protected":false},"author":29,"featured_media":1365,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[128],"tags":[62,2,79],"class_list":["post-1362","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-engineering-business-education","tag-data-analytics","tag-featured","tag-masters-degree","fallback-thumbnail"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What Can You Do with a Master\u2019s in Data Analytics? | 911爆料网<\/title>\n<meta name=\"description\" content=\"What can you do with a Master\u2019s degree in Data Analytics? 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