Sponsored by IE University\r\n\r\nIt’s been almost eight years since Harvard Business Review dubbed data science the ‘sexiest job of the 21st century’ and the US Bureau of Labor Statistics has reported a 16 percent growth in jobs in the sector since that claim.\r\n\r\nIf you want to get your foot in the exciting data science career door, a master’s in business analytics and big data can help get you there. Here are 11 career paths you might want to consider…\r\n\r\nMachine learning engineer\r\n\r\nAverage salary: US$110,739\r\n\r\nWhere you can work: Large tech customer-facing companies or companies that offer a data-based service (Apple, Microsoft, Accenture). \r\n\r\nMachine learning engineering is a specialist role still in its infancy. Machine learning engineers collaborate with the organization’s data science team to build programs and create algorithms to deliver data-driven products and services that enable machines to make decisions, take action and enhance user experience without any human interference. An example of this would be self-driving cars and personalized social media news feeds.\r\n\r\nMachine learning engineers generally come from a mathematic, physics, or statistics undergraduate background with a specialized master’s or PhD.\r\n\r\nData architect\r\n\r\nAverage salary: US$116,710\r\n\r\nWhere you can work: Public or private sector companies.\r\n\r\nData architects use extensive programming tools to design secure data frameworks in order to manage large electronic databases for organizations. This is a highly technical role that involves ensuring the data is relevant, accurate and accessible to the organization so employees can access this information, such as financial records and marketing information, wherever and whenever they need.\r\n\r\nYou’ll need superior analytical skills, an eye for detail and sophisticated design skills as you fulfil the strategic needs of the organization.\r\n\r\nStatistician\r\n\r\nAverage salary: US$73,054\r\n\r\nWhere you can work: Various sectors, including education, finance, health, environment, sport, transportation, market research and the government. \r\n\r\nStatisticians compile, analyze and evaluate quantitative information from surveys and experiments in order to help organizations reach operational standards and advise on practical solutions to problems.\r\n\r\nRelevant qualifications and industry experience is essential if you want to work in this field. \r\n\r\nData analyst\r\n\r\nAverage salary: US$60,208\r\n\r\nWhere you can work: Various sectors, including pharmaceuticals, manufacturing, consulting, finance, education and the government.\r\n\r\nData analysts are inquisitive, highly analytical and have a way with numbers. Every organization and business collects data, whether it’s sales figures, logistics, market research or transportation costs. As a data analyst it’s your job to gather and evaluate this data in order to provide clear insights as to how the organization can improve its business strategy and make better business decisions across various areas. \r\n\r\nChief technology officer (CTO)\r\n\r\nAverage salary: US$159,149\r\n\r\nWhere you can work: Corporate IT departments, consulting, finance. \r\n\r\nThis executive level position demands an expert-level knowledge of technological trends and how they can be implemented in building business strategies. Chief technology officers are masters of strategic thinking and conducting technological analysis as they look at ways in which they can ensure the organization stands out in an ever-increasing competitive marketplace.\r\n\r\nStrong leadership and organizational skills are essential in this role as you lead your team and consider which technologies are best to harness in order to ensure positive user experience and ensure efficiency across all areas of the business.\r\n\r\nAlmost half (49 percent) of IE’s Master in Business Analytics \u0026 Big Data graduates go on to work in the technology industry.\r\n\r\nChief data officer (CDO)\r\n\r\nAverage salary: US$180,458\r\n\r\nWhere you can work: Banking, corporate IT departments, consulting, finance, healthcare facilities. \r\n\r\nIn 2012, only 12 percent of Fortune 1000 companies had a CDO. Within six years, 67.9 percent of surveyed firms reported having a CDO, according to Forbes. It is the chief data officer’s responsibility to strategically oversee the organization’s data and generate business value from what could be the organization’s most valuable asset.\r\n\r\nChief data officers are business focused and have excellent expertise in IT. Relevant qualifications such as mathematics and statisticians, plus a specialized master’s and industry experience, are all essential if you want to become a chief data officer.\r\n\r\nApplication architect\r\n\r\nAverage salary: US$112,871\r\n\r\nWhere you can work: Software development firms, corporate IT departments, and computer manufacturing companies.\r\n\r\nIn this fast-paced role, application architects need excellent technical vision, the ability to provide valuable insights and solutions to software development, use and maintenance, as well as strong analytical, problem-solving and critical-thinking skills.\r\n\r\nEvery day, they carry out a wide variety of tasks such as creating new and improved applications, developing prototypes, running software tests, and creating technical documents for application software. \r\n\r\nYou’ll need proven programming language and architecture design skills and experience, as well as relevant qualifications and industry experience. A master’s in business analytics and big data for example, will equip you with the ability to rethink and rebuild products, services and processes as well as solve user problems using advanced analytics and relevant data insights.\r\n\r\nProject manager\r\n\r\nAverage salary: US$73,901\r\n\r\nWhere you can work: Construction, engineering, IT, and marketing.\r\n\r\nAs a project manager you’ll use your data-driven business acumen to plan, budget and oversee your organization’s project/s. You will also need to be organized and possess excellent leadership and critical-thinking skills.\r\n\r\nMarket research analyst\r\n\r\nAverage salary: US$63,120\r\n\r\nWhere you can work: Finance and insurance, consulting services, manufacturing.\r\n\r\nMarket research analysts compile complex reports, spreadsheets, surveys and opinion polls in order to gather and evaluate significant market intelligence that can help an organization market their product or service in the best way possible. Data can include consumer demographics, spending habits and sales trends, needs, interests, and preferences.\r\n\r\nMarket research analysts need a good working knowledge of statistical software and techniques in order to monitor and forecast the effectiveness of such strategies.\r\n\r\nBusiness/analytics translator\r\n\r\nAverage salary: US$53,552 \r\n\r\nWhere you can work: Finance, insurance, and consulting services.\r\n\r\nAs organizations continue to turn their attention to advanced and novel technologies such as artificial intelligence (AI) and machine learning to leverage success and improve business efficiency, business/analytics translators are filling the gap between an organization’s business team and technology team.\r\n\r\nAn organization’s business team and technology team can be at opposite ends of the spectrum, causing confusion, miscommunications and in some instances, massive errors. Business/analytics translators work to ensure the focus stays on the organization’s values and objectives, but are data-savvy enough to understand and liaise with those in the data science team. Business/analytics translators then confirm the ‘roadmap’ for going forward.\r\n\r\nData scientist\r\n\r\nAverage salary: US$88,779\r\n\r\nWhere you can work: IT departments, finance and e-commerce, retail, transport services, healthcare services, academia and the government.\r\n\r\nLast, but most definitely not least – the data scientist.\r\n\r\nUsing algorithms, artificial intelligence, machine learning and other statistical tools, data scientists mine complex, raw data from a range of sources and turn into meaningful, transparent information in order for the organization to improve their business strategy and operations.\r\n\r\nThe career-focused Master in Business Analytics \u0026 Big Data at IE University teaches with innovation and versatility at the forefront of its curriculum and offers an array of hands-on learning opportunities including multimedia simulations, classroom debates, and case studies.