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Management Quantitative Method (MGQ)

MGQ Courses

  • The Learning Environment

    The Learning Environment

    Students take a series of prerequisite courses early in their academic careers that serve as a foundation for the upper-level core curriculum. There are 11 upper-level (300/400 level) core requirements cutting across multiple management disciplines providing a comprehensive understanding and application of contemporary management practices. Many courses are project based integrating case studies. Capstone courses offer academic training with real-world exposure through experiential learning.

    About half of the 11 courses are delivered via Digital Access or in lecture halls, while the other half average 45 students. Recitations that accompany core courses are taught by teaching assistants in class sizes of approximately 30 or less. Concentration courses typically average 45 students. Opportunities for independent study and study abroad are available both during the regular semester and over summer/winter breaks.

    About Our Facilities

    The Jacobs Management Center and the adjacent Alfiero Center offer a complete home for management students, faculty and staff. Together, they are among only a few buildings at UB that commingle classrooms and offices, creating an interactive community of professionals, students and scholars. The School has a computer lab open over 100 hours a week with exclusive access for management students.

    There are nine student breakout rooms each outfitted with a large monitor for displaying laptop content. There are numerous tables throughout the three floors of the atrium for group work, study networking, and socializing with peers.

    The Undergraduate Learning and Community Center includes three classrooms (of the 12), a community area, tutoring facilities and a group study area — all exclusively to our undergraduate majors, with technology throughout to enhance their experience. The new center offers a bright, colorful space dedicated exclusively to School of Management majors, to help undergrads feel at home at UB.

    About Our Faculty

    The School of Management includes six departments with a total of 56 tenured/tenure track faculty members, 20 full-time clinical faculty members, 20 part-time adjuncts, and 22 graduate teaching assistants who support our courses. Our faculty includes some of the most experienced and knowledgeable teachers you will find on any business school campus. Their research is published frequently in leading academic journals and textbooks, and their expertise and advice is sought regularly by the business community and mainstream media.

    In the classroom, this expertise enables them to illustrate the theoretical side of business concepts and bring them to life with practical industry examples. Our faculty's commitment to teaching, along with their contacts, availability and friendliness, makes them a powerful and highly approachable resource for our students.

    Faculty List Directory

    Please visit the School of Management faculty and staff directory for additional information about our faculty.

  • MGQ 201LR Introduction to Statistics for Analytics
    View Schedule MGQ 201LR Introduction to Statistics for Analytics Lecture

    This course is designed to introduce students to statistical concepts and applications and cultivate student statistical literacy. Topics that are covered include descriptive statistics, probability distributions, the Central Limit Theorem, applications of the normal distribution, sampling, confidence intervals, and hypothesis testing. In the first part of the course, students will become proficient in using Microsoft Excel to compute and convey information; in the second part of the course, students will use calculators to estimate probabilities, perform statistical functions, and inform decisions.

    Credits: 4
    Grading: Graded (GRD)
    Typically Offered: Fall, Spring, Summer
    Prerequisites: Sophomore standing
  • MGQ 301LEC Statistical Decisions in Management
    View Schedule MGQ 301LEC Statistical Decisions in Management Lecture

    Strengthens skills in the use of statistical methods for decision making and in the interpretation of computer output. Topics covered include estimation, hypothesis testing, regression, and analysis of variance.

    Credits: 3
    Grading: Graded (GRD)
    Typically Offered: Fall, Spring
    Other Requisites: MGQ 201 and junior standing in the School of Management. Students may not repeat upper-level School of Management courses in which they have earned passing grades without consulting with an academic advisor.
  • MGQ 408LEC Business Analytics and Data Science
    View Schedule MGQ 408LEC Business Analytics and Data Science Lecture

    The goal of this course is for students to cultivate analytical and technical skills that enable them to extract meaning from large amounts of data. Students will think about how to use data to address different types of business problems and will employ techniques from analytics and data science to harvest and mine data, identify patterns, create predictive models, and put forth data-driven recommendations. Students need to have proficiency in Excel and basic statistics, and will be expected to learn and use R as a data manipulation tool. MGQ 201 and MGQ 301 are pre-requisite courses.

    Credits: 3
    Grading: Graded (GRD)
    Typically Offered: Fall, Spring
    Prerequisites: MGQ 201 and MGQ 301; junior or senior standing in the School of Management.
  • MGQ 499TUT Independent Study
    View Schedule MGQ 499TUT Independent Study Tutorial

    Credits: 1 - 8
    Grading: Graded (GRD)
    Typically Offered: Fall, Spring, Summer
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Published: Jul 23, 2019 14:25:53