Paralegals and Legal Assistants. Postsecondary Teachers. Preschool Teachers. Kindergarten and Elementary School Teachers.
Middle School Teachers. Career and Technical Education Teachers. Special Education Teachers. Archivists, Curators, and Museum Workers.
Librarians and Library Media Specialists. Library Technicians and Assistants. Instructional Coordinators. Teacher Assistants. Art Directors. Special Effects Artists and Animators. Industrial Designers. Fashion Designers. Floral Designers. Graphic Designers. Interior Designers. Producers and Directors. Athletes and Sports Competitors. Coaches and Scouts.
Umpires, Referees, and Other Sports Officials. Dancers and Choreographers. Music Directors and Composers. Musicians and Singers. News Analysts, Reporters, and Journalists.
Technical Writers. Writers and Authors. Interpreters and Translators. Broadcast, Sound, and Video Technicians. Film and Video Editors and Camera Operators. Physicians and Surgeons. Physician Assistants. Registered Nurses. Occupational Therapists. Physical Therapists. Radiation Therapists. Recreational Therapists. Respiratory Therapists. Speech-Language Pathologists.
Clinical Laboratory Technologists and Technicians. Dental Hygienists. Medical Sonographers and Cardiovascular Technologists and Technicians. Nuclear Medicine Technologists. Radiologic and MRI Technologists. EMTs and Paramedics. Pharmacy Technicians. Surgical Technologists. Veterinary Technologists and Technicians. Licensed Practical and Licensed Vocational Nurses. Medical Records and Health Information Specialists. Occupational Health and Safety Specialists and Technicians.
Athletic Trainers. Home Health and Personal Care Aides. Nursing Assistants and Orderlies. Psychiatric Technicians and Aides. Occupational Therapy Assistants and Aides. Physical Therapist Assistants and Aides. Massage Therapists. Dental Assistants. Medical Assistants. Medical Transcriptionists. Correctional Officers and Bailiffs. Police and Detectives. Private Detectives and Investigators. Security Guards and Gambling Surveillance Officers.
Chefs and Head Cooks. Food Preparation Workers. Food and Beverage Serving and Related Workers. Waiters and Waitresses. Janitors and Building Cleaners. Pest Control Workers. Grounds Maintenance Workers. Animal Care and Service Workers. Gambling Services Workers. Barbers, Hairstylists, and Cosmetologists. Manicurists and Pedicurists. Skincare Specialists. Flight Attendants. Childcare Workers. Fitness Trainers and Instructors. Recreation Workers.
Retail Sales Workers. Advertising Sales Agents. Insurance Sales Agents. Wholesale and Manufacturing Sales Representatives. Real Estate Brokers and Sales Agents. Sales Engineers. Bill and Account Collectors. Bookkeeping, Accounting, and Auditing Clerks. Customer Service Representatives. Police, Fire, and Ambulance Dispatchers. Postal Service Workers. Secretaries and Administrative Assistants.
Desktop Publishers. Agricultural Workers. Fishing and Hunting Workers. Masonry Workers. Flooring Installers and Tile and Stone Setters. Construction Laborers and Helpers.
Construction Equipment Operators. Construction and Maintenance Painters. Plumbers, Pipefitters, and Steamfitters. Construction and Building Inspectors. Elevator and Escalator Installers and Repairers.
Hazardous Materials Removal Workers. Automotive Body and Glass Repairers. Automotive Service Technicians and Mechanics. Diesel Service Technicians and Mechanics. Small Engine Mechanics.
General Maintenance and Repair Workers. Line Installers and Repairers. Medical Equipment Repairers. Assemblers and Fabricators. Metal and Plastic Machine Workers. Machinists and Tool and Die Makers. Welders, Cutters, Solderers, and Brazers. Stationary Engineers and Boiler Operators.
Quality Control Inspectors. Jewelers and Precious Stone and Metal Workers. Airline and Commercial Pilots. Air Traffic Controllers. Passenger Vehicle Drivers. Heavy and Tractor-trailer Truck Drivers.
Railroad Workers. Water Transportation Workers. Material Moving Machine Operators. Hand Laborers and Material Movers. Purchasing Managers, Buyers, and Purchasing Agents. Agricultural Engineers. Health and Safety Engineers. Aerospace Engineering and Operations Technologists and Technicians. Electrical and Electronic Engineering Technologists and Technicians.
Electro-mechanical and Mechatronics Technologists and Technicians. Conservation Scientists and Foresters. Agricultural and Food Science Technicians. Craft and Fine Artists. Orthotists and Prosthetists. Fire Inspectors. Financial Clerks. Information Clerks. Material Recording Clerks.
General Office Clerks. Forest and Conservation Workers. Logging Workers. Sheet Metal Workers. Food and Tobacco Processing Workers. Painting and Coating Workers. Students cannot receive credit by examination for any of the non-waivable courses in the curriculum, nor can they replace any of the non-waivable courses with work experience.
Each course includes the hands-on use of technology as well as the conceptual knowledge about the specific technical area. Students will enhance their skills in research design, statistical methods and modeling by taking courses in the data analytics core.
The analytics core assumes that students have prior knowledge of statistics, as developed in the data analytics class BADM within the core knowledge section. Students take two additional courses in analytics, selecting one in each set as shown below:. Students will select an application domain emphasis to learn what questions are relevant for decision making in a specific area.
Courses taken within the application domain emphasis must build on each other — a student must select two courses that will create in-depth knowledge of an application domain such as health care, education, or a selected specialization within economics or business.
Examples of courses that could comprise the application core are provided below, however there are many other graduate classes that could be used to create an application domain of interest to the student. Students must meet with an advisor to discuss appropriate courses for the application domain core and receive advisor approval before taking the application domain courses.
A key goal of the MSIS with an emphasis in data analytics is to develop knowledge and skills to analyze and solve organizational problems with the use of large data sets. This course should be the last one completed in the degree program and can be taken for credits depending on the size and scope of the project.
The purpose of the project is to learn how to structure an ambiguous problem and to analyze data related to that problem. The project will be relatively unstructured.
It is the responsibility of the student to: 1 define the question or questions that need to be answered, 2 identify what data are necessary to answer the questions, 3 collect the data from existing data sources and put that data into a form that can be used to answer the questions, 4 analyze the data; and 5 generate visualization methods that help other people understand the analysis of the data. This course will not meet as a standard structured course. This course is run as an independent student project.
There will be no exams or class meeting times. This course will be considered complete when the project is completed. The project can be performed using one of two options:.
Option 1 Answer questions for a real client using real data supplied by the client. The student will meet with members of the organization to understand the goals of the organization in relationship to the data that is available for analysis. This is an iterative step in the analysis process, because the student will help the organization define the questions that could be answered based on the available data, and will also help the organization understand what data are needed to answer the questions that the organization wants answered.
The student will work with members of the organization to both refine the questions and define the required dataset. After gaining agreement on the questions and required data, the student will obtain the data from the client, put the data into a format that can be used to answer the questions, analyze the data and generate the required deliverables.
Deliverables for this option: This includes a presentation to the client, appropriate visualization methods usually graphical and a business report with the detailed analysis. The student will discuss the actual deliverables with the client prior to embarking on the analysis of the dataset. Option 2 Complete a research project and submit it to an academic conference.
The student will identify a research question that is of interest in the academic or business literature within the application domain studied by the student, identify a publicly available dataset that could be used for analysis, put the data into a form that can be used to answer the question, analyze the data, and write a research paper for submission to a conference. There are many different conferences available, and some are aimed at the dissemination of research conducted by graduate students.
Similar to option 1, the definition of the questions and dataset is an iterative process to define a research question and identify a publicly available dataset that could be used to analyze the question.
The student must read the academic literature related to the research area to define a question, but then must also search for data that could be used to analyze the question. It is possible to define a question and find there is no data available to analyze the question, and it is also possible to find data that are available, but realize there is no interesting question to study from that data.
So it is up to the student to do both tasks — define the question and find a dataset that is appropriate to study that question. Deliverables for this option: A paper suitable for submission to a conference. There is usually a word-limit or page-limit for conferences of about 5, words or 10 pages. Students will take IS during their last semester prior to graduation, but should plan for IS during the courses that comprise their analytics core and application domain.
Here are the planning decisions and information that a student should make and gather while taking courses in the analytics core and application domain prior to taking IS :. Milestone 1: Define research question or set of related questions and appropriate dataset.
Identify external readings appropriate for the research question. Finalized project plan. Milestone 2: Put the data into a format that can be used to analyze the questions. This may require designing and implementing an appropriate database.
Complete external readings appropriate for the research question. Milestone 4: Gather feedback from client to see whether question and analytical method are appropriate.
Incorporate external readings as appropriate. The MSIS data analytics track is open to those who hold a bachelor's degree from an accredited college or university.
Students may join this program after completing a variety of different undergraduate degree programs. Before starting this program, students must have:. All graduate students must maintain a cumulative graduate GPA of 3. If their GPA drops below 3. Undergraduate courses will not count towards graduate GPA. Probation: students whose cumulative graduate GPA falls between 2. If they fail to raise their cumulative GPA to 3. Dismissal: students whose cumulative graduate GPA is 2.
Dismissed students are no longer enrolled in their graduate program but may take graduate-level courses as a Grad Special. Dismissed students wishing to complete their degree must obtain approval to take graduate-level courses, raise their graduate GPA to at least 3. If program dismissal is based upon failure to maintain required grades or a required GPA as described above, SPDP does not apply and the student may be summarily dismissed from the graduate program.
All applications are reviewed by the MSIS admissions committee, and only complete applications are considered. Applications approved by the committee are forwarded to the Graduate School for final disposition. Students must also place in the 20th percentile or higher in each portion verbal, written, and quantitative of the exam.
The recommended minimum score for the verbal and quantitative reasoning scores of the GRE is , and 3. All students are expected to be proficient using a computer for word processing. Semantic Business Process Modelling and Analysis. BPMN 2. Lifecycle Management of Business Process Variants. Process Choreography Modelling. Recommendation-Based Business Processes Design. Business Process Simulation Survival Guide.
Page 1 Navigate to page number of 2. About this book Introduction Business Process Management BPM has become one of the most widely used approaches for the design of modern organizational and information systems. This "handbook" presents the most complete description of the competencies required for BPM and exhaustively describes what we have learned about process management in the last 20 years. Editors and affiliations. Jan vom Brocke 1 Michael Rosemann 2 1.
Bureau of Labor Statistics, Employment Projections program projected growth, entry-level education and U. Census Bureau, American Community Survey degree holders, advanced degrees. Suggested citation: Bureau of Labor Statistics, U. Last Modified Date: Friday, December 3, Menu Search button Search:.
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