Analytics at MET College
| Degree Program | Computer Science
Concentration in DA |
Computer Information Systems
Concentration in DA |
Applied Data Analytics |
Applied Business Analytics (MET Administrative Sciences Department) |
|---|---|---|---|---|
| Who is this program for? | Intended for computer professionals and for people who intend to move into the computer field from other areas of study. | Designed for students who wish to combine technical competence in information systems with knowledge of managerial and organizational issues. | Designed for students seeking solid knowledge of the foundations of data analytics with emphasis on the presentation and discussion of the latest industry tools and standards within an academically rigorous framework. | Designed for students who want to gain hands-on experience with a variety of analytical models and decision-support tools, and to apply them to interlinked data-inputs and large data sets in the areas of marketing, operations, product and technology innovations, financial services, and others. |
| Required Academic Background | Bachelor’s degree from a regionally accredited institution | |||
| Required Technical Knowledge for Admission | Academic or work experience with programming, discrete mathematics and computer systems, OR taking prerequisite course sequence in C++ or Java. | Academic or work experience equivalent to MET CS 200. | The program is ideal if you have a computer science or engineering background or relevant industry experience. Prerequisite courses may be recommended based on a student’s background. | Students are required to complete MET AD 100 Pre-Analytics Laboratory. |
| What will students learn? | Advanced knowledge of computer language theory, software design as well as data analytics. Algorithms, operating systems, computer language usage, software development, and the management of data. Skills to investigate continually emerging new software technologies, applications, and approaches. |
Advanced knowledge of the analysis and documentation of requirements for architecture, design, and implementation of computer applications systems. Advanced knowledge of data analytics, database management, data communications, and systems architecture and design. Sufficient technical depth and knowledge about emerging technologies and issues. Proficiency in software and computing skills as they pertain to the design and implementation of database systems, data communications, systems analysis and design. |
The knowledge of analytics tools combined with understanding of data mining and machine learning approaches will enable students to critically analyze real-world problems and understand the possibilities and limitations of analytics applications. | Graduates of the program will be able to analyze data-driven business processes, select appropriate analytical methods to monitor and identify performance issues, prescribe possible outcomes, and propose optimal data-based solutions. |
| Courses Required | Ten (40 credits) | Ten (40 credits) | Eight (32 credits) | Ten (40 credits) |
| Additional Concentration Options | Computer Networks, Data Analytics and Security. | Computer Networks, Data Analytics, Database Management and Business Intelligence, Health Informatics, IT Project Management, Security and Web Application Development. | This is a specialized degree with no additional concentrations options. | This is a specialized degree with no additional concentrations options. |
| Program Structure | Full or part time on campus. Spring and Fall semesters are 14 weeks in length. Summer is 12 weeks. Some electives may be available in the online or blended format. | Full or part time on campus. Spring and Fall semesters are 14 weeks in length. Summer is 12 weeks. Part time online due to the intensive nature of classes. Students can petition to take classes full time online. Online classes are 7 weeks in length and start six times a year. |
Full or part time on campus. Spring and Fall semesters are 14 weeks in length. Summer is 12 weeks. Part time online. Online classes are 7 weeks in length and start six times a year. |
Full or part time on campus. Spring and Fall semesters are 14 weeks in length. Summer is 12 weeks. Part time online. Online classes are 7 weeks in length and start six times a year. |
| Full On-Campus Option |
Yes | Yes | Yes | Yes |
| Full Online Option |
No | Yes | Yes | Yes |
| Full Blended Option |
No | Yes | No | No |
| Potential Professional Outcomes | Assist organizations with jobs involving programming in a variety of programming languages. Combine your knowledge of theoretical topics along with practical practitioner overview of various computing tools and technology. Graduates are knowledgeable in areas of information security, computer architecture, network design and engineering, software engineering, multimedia design, and construction of software tools and packages. | Competent at project and change management with a good appreciation of IS/IT policy and strategy to work in both the business and technical sectors. Lead teams and projects involving application development, database design and implementation, infrastructure analysis, modeling, web and mobile application design and implementation. Consult in areas of system integration, networking, telecom, and infrastructure, IT sourcing and global IT projects. | Gain in-depth understanding of data analysis using Python, R, and the concepts and techniques for machine learning, data mining, as well statistical analysis methods and tools used to generate relevant visual presentations of data. Demonstrate a solid knowledge of concepts and techniques in data analytics, as well as the methods and tools for data mining and knowledge discovery.
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Students have the opportunity to gain hands-on experience with a variety of analytical models and decision-support tools, which they can apply to interlinked data-inputs and large data sets in the areas of marketing, operations, product and technology innovations, financial services, and others. |
| Available Career Services | Center for Career Development Workshops, Resume Assistance, Networking and Interview Events, Job Postings, Alumni Connections. bu.edu/careers Department of Computer Science Career resources including the Job Board and on campus TECH Talks Smarthinking (Online students) Résumé and cover letter review, Career writing, Live interview practice and coaching |
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| Tuition | Current tuition rates are available on the MET web site. Program costs vary depending on a student’s anticipated program schedule and format. | |||