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Institution profile

Lomonosov Moscow State University

Russian FederationEurope

#105

QS World University Rankings 2026

67.6

QS 2026 overall score

QS World University Rankings data

Ranking data

QS World University Rankings source

#105

QS World University Rankings 2026

#94

QS World University Rankings 2025

67.6

QS 2026 overall score

QS 2026 indicators

Indicator-level data

Each card keeps the QS 2026 score and rank separate. A missing value is not estimated.

Academic reputation

QS 2026 score
83.7
QS 2026 rank
#83

Employer reputation

QS 2026 score
87.9
QS 2026 rank
#80

Faculty-student ratio

QS 2026 score
99.9
QS 2026 rank
#26

Citations per faculty

QS 2026 score
7.3
QS 2026 rank
#801

International faculty ratio

QS 2026 score
25.5
QS 2026 rank
#641

International student ratio

QS 2026 score
96
QS 2026 rank
#112

International student diversity

QS 2026 score
96.1
QS 2026 rank
#97

International research network

QS 2026 score
87
QS 2026 rank
#214

Employment outcomes

QS 2026 score
98.3
QS 2026 rank
#37

Sustainability

QS 2026 score
48.8
QS 2026 rank
#734
University profile

About Lomonosov Moscow State University

The checked MSU sources show two specialised research settings

The official material examined for Lomonosov Moscow State University describes two specialised settings rather than attempting to map every part of the university. The Research Computing Center is identified as an MSU research institute, while the A. N. Belozersky Research Institute of Physico-Chemical Biology is described as a major research and educational unit. This narrow evidence base should shape how the university is read. It supports a close look at computing and physico-chemical biology, but it does not establish a conclusion about every discipline at MSU. A responsible profile keeps that boundary visible from the beginning.

The Research Computing Center describes laboratories and research-and-production units, as well as support for MSU supercomputer facilities and administrative information systems. Its research areas include parallel information technologies, supercomputer codesign, computational drag design, climate and environmental modelling, computational linguistics, electrodynamics and acoustics, and elementary-particle physics. These are concrete clues for a computational question. They are not interchangeable labels. Someone interested in language technology, environmental modelling, or numerical computation should determine which laboratory or research project gives the topic its actual methodological home.

Computing and biological work need separate evidence trails

The Research Computing Center's public description links fundamental and applied work with computing facilities and university support. That combination is relevant when a research question depends on high-performance calculation, parallel methods, numerical codes, or an information system. It does not mean that every MSU research topic uses the centre. A careful note should name the computational problem, identify the stated research area that is closest to it, and then seek current laboratory material. This prevents an institutional computing resource from becoming a broad claim about a field that may actually be organised somewhere else.

The Belozersky Institute presents a different map. Its departments work in biochemistry, biophysics, molecular biology, molecular virology, cell biology, biomedicine, genomics, proteomics, and bioinformatics. The institute also describes service departments where costly equipment is concentrated and connections with the Faculty of Bioengineering and Bioinformatics, biology, chemistry, and physics. For a life-science question, that wording helps distinguish molecular and cellular routes from a general interest in biology. The next step is to identify the relevant department or laboratory and ask which organism, process, measurement, or computational method is actually being used.

Scope matters when comparing Lomonosov Moscow State University

A sound Lomonosov Moscow State University comparison should make its evidence scope explicit. If the question concerns parallel computing, climate modelling, computational linguistics, or numerical methods, begin with the Research Computing Center. If it concerns molecular, cellular, biochemical, or bioinformatic work, begin with the Belozersky Institute. The central lesson is not that two units answer every question, but that they give a real starting point for two distinct research directions. Name the unit first, then state the scientific question and only then assess whether the visible research language overlaps with your intended work.

Use a conservative final note. Record the specialised unit, its stated areas, and the specific item that needs more local confirmation, such as a laboratory's current project or an individual researcher's method. Do not extend evidence from the Research Computing Center to unrelated engineering or science areas, and do not use the biology institute to infer a university-wide biomedical structure. This restraint makes the profile more helpful, not less. It tells a reader exactly where the official evidence is strong and where a fresh, discipline-specific search remains necessary.

Institution record

Country
Russian Federation
Region
Europe
Status
Public
QS size code
L
Profile record updated
July 24, 2026

This date shows when this profile was refreshed. It is not a source-verification date from QS or the university.

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