Digital Forensics Graduate Certificate

CNSS - LogoComputers and various digital devices are used throughout organizations large and small to operate daily business. The fundamental role of digital systems in business brings with it serious security challenges. Hackers and criminals are constantly attacking all types of organizations. To mitigate such risks, it is important for IT specialists to obtain a comprehensive overview of digital forensics. This specialized graduate certificate program in digital forensics will provide students comprehensive “digital crime scene investigation” knowledge. This program introduces students to forensic analysis policy and procedures, forensic analysis tools, data recovery, and investigation, among other topics.

Students who complete the Graduate Certificate in Digital Forensics will be able to demonstrate:

  • Advanced knowledge of the computer forensics tools necessary to launch a complete and successful digital forensics investigation in civil, criminal, or administrative cases.
  • Proficiency in conducting network forensics analysis, including determining how a perpetrator or an attacker gained access to a network and transmitted felonious digital data.
  • Competence sufficient to conduct a comprehensive “digital crime scene investigation” and mastery of skills pertaining to acquisition of digital evidence, conducting analysis, presenting a report, and being an expert witness in a court.

Program Options

Available on campus and in the following format:

  • Blended: By combining the convenience of online study and the dynamic of face-to-face learning, the blended format provides added flexibility and new avenues of opportunity for those with demanding schedules. Each course for the Graduate Certificate in Digital Forensics combines online study with four on-campus Saturday meetings per semester.

Prerequisite courses or evidence of proficiency in these areas must accompany the application to the program. If college-level credit courses are not in evidence, the department will determine what prerequisite courses must be completed in addition to the graduate certificate requirements. Students claiming equivalent proficiency in prerequisite courses from non-academic sources must take an examination to demonstrate such proficiency.

Official transcripts of previous academic work, two letters of recommendation, personal statement and résumé are required as part of the application.

A maximum of two graduate-level courses (8 credits) taken at Metropolitan College prior to acceptance into the program may be applied toward the certificate.

Minimum passing grade for a course in the graduate certificate program is C (2.0), but an average grade of B (3.0) must be maintained to be in good academic standing and satisfy the certificate requirements.

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Academic credits earned toward the Graduate Certificate in Digital Forensics may be transferred to the Master of Science in Computer Information Systems.

Prerequisites

Bachelor’s degree from a regionally accredited institution. Some courses may have additional prerequisites.

Courses

(Four courses/16 credits)

This course presents the foundations of data communications and takes a bottom-up approach to computer networks. The course concludes with an overview of basic network security and management concepts. Prereq: MET CS 200, or instructor's consent. This course may not be taken in conjunction with MET CS 425 (undergraduate) or MET CS 535. Only one of these courses can be counted towards degree requirements.  [ 4 cr. ]

Section Type Instructor Location Days Times
B1 IND FLR 109 T 6:00 pm – 9:00 pm
E1 IND FLR 109 T 6:00 pm – 9:00 pm
O1 IND ARR
O2 IND ARR

Provides a comprehensive understanding of digital forensics and investigation tools and techniques. Learn what computer forensics and investigation is as a profession and gain an understanding of the overall investigative process. Operating system architectures and disk structures are discussed. Studies how to set up an investigator's office and laboratory, as well as what computer forensic hardware and software tools are available. Other topics covered include importance of digital evidence controls and how to process crime and incident scenes, details of data acquisition, computer forensic analysis, e-mail investigations, image file recovery, investigative report writing, and expert witness requirements. Provides a range of laboratory and hands-on assignments either in solo or in teams. With rapid growth of computer systems and digital data this area has grown in importance.  [ 4 cr. ]

Section Type Instructor Location Days Times
E1 IND FLR 109 S 9:00 am – 12:00 pm
O1 IND ARR

This course provides a comprehensive understanding of network forensic analysis principles. Within the context of forensics security, network infrastructures, topologies, and protocols are introduced. Students understand the relationship between network forensic analysis and network security technologies. Students will learn to identify network security incidents and potential sources of digital evidence and demonstrate the ability to perform basic network data acquisition and analysis using computer based applications and utilities. Students will also identify potential applications for the integration of network forensic technologies and demonstrate the ability to accurately document network forensic processes and analysis. Prereq: MET CS 625 and MET CS 695; or instructor's consent.  [ 4 cr. ]

Section Type Instructor Location Days Times
E1 IND FLR 266 S 1:00 pm – 4:00 pm

And one of the following:

Data mining and investigation is a key goal behind any data warehouse effort. The course provides an introduction to concepts behind data mining, text mining, and web mining. Algorithms will be tested on data sets using the Weka Data mining software and Microsoft SQL Server 2005 (Business Intelligence Development Studio). Prereq: MS CS Prerequisites: MET CS 579; or instructor's consent. MS CIS Prerequisites: MET CS 669 and MET CS 546; or instructor's consent.  [ 4 cr. ]

Section Type Instructor Location Days Times
D1 IND FLR 267 R 6:00 pm – 9:00 pm
E1 IND FLR 267 R 6:00 pm – 9:00 pm
O1 IND ARR

This course provides an introduction to the advanced digital forensic topic relating to malicious software (malware), which represents an increasing information security threat to computer systems and networks. Students will review software engineering design fundamentals and reverse engineering techniques utilized to conduct static and dynamic forensic analysis on computer systems and networks. Students will learn about the importance of forensic principles, legal considerations, digital evidence controls, and documentation of forensic procedures. This course will incorporate demonstrations and laboratory exercises to reinforce practical applications of course instruction and will require an independent research paper related to the course topic. Prereq: MET CS 693 and MET CS 703; or instructor's consent.  [ 4 cr. ]

View course descriptions.