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2. Master of Science in Quality Management and Analytics

   en.wikipedia.org/wiki/Master_of_Science_in...

   The M.S. in QM and Analytics is designed to prepare students to pursue a variety of QM and/or Analytics careers such as Quality Manager, Quality Analyst, Data Analyst, Business Analyst, Quality Consultant, and Quality Systems specialist, or to pursue doctoral-level graduate studies in preparation for research and instructional roles in quality ...

3. The top 10 MBA concentrations and how to choose one - AOL

   www.aol.com/finance/top-10-mba-concentrations...

   Graduates can find jobs as cybersecurity analysts, information security managers or compliance specialists, with the annual base salary for this degree averaging around $91,000. Human resources

4. Analytics - Wikipedia

   en.wikipedia.org/wiki/Analytics

   Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.

5. Entry-level job - Wikipedia

   en.wikipedia.org/wiki/Entry-level_job

   These roles may require some on-site training. Many entry-level jobs are part-time and do not include employee benefits. Recent graduates from high school or college usually take entry-level positions. Entry-level jobs targeted at college graduates often offer a higher salary than those targeted at high school graduates.

6. Business analyst - Wikipedia

   en.wikipedia.org/wiki/Business_analyst

   The business analyst role is an overlap of these two professions, and therefore the business analyst plays an essential role in communication and understanding between these two groups. [ 14 ] [ 15 ] Requirements elicitation - this refers to "analyzing and gathering the needs of both computer-based systems as well as the business". [ 14 ]

7. Data engineering - Wikipedia

   en.wikipedia.org/wiki/Data_engineering

   Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.